Onix is a trusted cloud consulting company that helps businesses get the most out of their technology with innovative, cloud-powered solutions and services. From data analytics and modernization to security and AI/ML solutions, we’re able to deliver tailored solutions and exceptional results for our customers because of our 20+ year strategic partnerships in the cloud, our dedication to customer success, and depth of technology expertise. Our global team of cloud experts are the most reliable, talented and knowledgeable in the industry.

Industry: IT Services and IT Consulting
Company Size: 1,001-5,000 employees

Onix

Savvy Admin PROD

About Onix: Onix is a trusted cloud consulting company that helps companies get the most out of their technology with cloud-powered solutions, best-in-class services, and the Datametica Birds, data migration products that unleash AI potential.

We are able to deliver exceptional results for our customers because of our 20+ years of cloud experience, depth of technology expertise, and IP-driven data and AI solutions.

We offer solutions across a wide range of use cases and industries that are tailored to the unique needs of each customer. From advanced cloud security solutions to innovative AI capabilities and data migration products, we have you covered. Our global team of experts are the most reliable, talented and knowledgeable in the industry.

Summary : Onix is seeking an experienced Senior Data Architect/Principal Data Engineer that will play a key role in designing and implementing data solutions that meet client business needs and support the overall cloud data architecture. The ideal candidate will have a strong understanding of Lakehouse Architecture, data modeling, and data management, with a significant focus on data warehouse/Lakehouse design and development. The candidate will have experience in cloud platforms such as Azure, AWS and GCP.

Location : Remote, United States

**Primary Responsibilities**

-  Lead the Design, development, and implementing of Lakehouse & data warehouses architecture in a cloud based data environment that integrates with an overall data architecture.

-  Work closely with business stakeholders to interpret their data needs and translate them into technical requirements.

-  Have a good understanding of data governance and develop & implement data governance policies and procedures.

-  Ensure data quality and integrity by implementing data testing and validation processes.

-  Deploying and debugging cloud data initiatives as needed in accordance with best practices throughout the development lifecycle.

-  Managing cloud data environments in accordance with company security guidelines.

-  Lead the design and build of reusable, repeatable solutions and components for future use.

-  Lead and mentor a team of data engineers to implement your solution designs

-  Stay abreast of current and emerging trends and technologies in the data and AI/ML field. Educate delivery teams on the implementation of new cloud-based data analytics initiatives, providing associated training as required.

-  Partner with Delivery, and Support teams to find opportunities to reduce manual effort needed to complete deployments.

-  Consult on Professional Services Engagements to help our customers design and implement data warehouse solutions. Lead and develop best practices for the larger data analytics delivery team.

-  Provide client presentations to review project design, outcomes and recommendations.

-  Employ exceptional problem-solving skills, with the ability to see and solve issues before they snowball into problems.

-  Lead the orchestration and automation cloud-based data platforms.

**Preferred Skills And Experience**

-  7+ years experience in Data Architecture, data engineering & analytics in areas such as performance tuning, pipeline integration & infrastructure configuration

-  10+ years of consulting experience

-  Completed Databricks Data Engineering Professional/Associate certification OR Cloud Certification (Azure, AWS, GCP)

-  Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one

-  Deep experience with distributed computing with Spark with knowledge of Spark runtime internals & Spark Structured Streaming

-  Working knowledge of MLOps with a strong understanding of essential components of MLOps Architecture to build, train and deploy models

-  Current knowledge across the breadth of Databricks product and platform features

-  Familiarity with optimizations for performance and scalability

-  Data Pipelining Experience leveraging Databricks Delta Live Tables and Data Built Tool (DBT)

-  Experience with terraform, Git, CI/CD tools as well as Automation and Integration testing

-  Thorough understanding of Databricks Delta, Iceberg, and Hudi

-  Experience in best Spark Best Practices & Notebook, Cluster Creation & Configuration

-  Ingestion Patterns & Data Quality enforcement techniques within Databricks, Spark and DLT.

-  Understanding of Constraints, Expectations, CDC, CDF, SCD Type 1/Type 2

-  Understanding of Unity Catalog & DBX Governance/Security Models

-  Familiarity with leveraging Databricks REST APIs - Testing and Deployment - SCIM API & DBX CLI

Education : Bachelor's Degree or equivalent experience required.

Travel Expectation: Up to 15%

It is the policy of Onix to ensure equal employment opportunity in accordance with the Ohio Revised Code 125.111 and all applicable federal regulations and guidelines. Employment discrimination against employees and applicants due to race, color, religion, (including sexual harassment), national origin, disability, age (40 years old or more), military status, or veteran status is illegal. Onix will only employ those who are legally authorized to work in the United States or Canada.

Senior Data Architect

Vytwo Technologies is a globally recognized enterprise applications integrator. We are experts in providing IT consulting and business services for mid to large level organizations. We offer a complete range of software and consulting services such as business-technology consulting, Internet and e-business consulting, system integration, custom application development, re-engineering and sustenance. We provide and harness innovative management consulting and information technology solutions, to leverage technology in current e-business stipulated economy. We understand and help you gain recognition of how to move your business forward in this competitive space, and then we create and implement the solutions necessary to turn concepts into reality. Our company is uniquely positioned and has a proven history of ability to foresee market trends and introduce high quality products faster than any of its competitors. In a world where excellence in execution is the key to success, Vytwo Technologies has an enviable record of completing 92% of its projects on schedule. Vytwo Technology's well-defined processes and a strong "Body of Knowledge" enables the company to capture effectively the best practices of every project implemented.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

Vytwo Technologies Inc.

**Role: Google Cloud Data Architect – IAM Data Modernization**

**Location: Dallas, TX / Charlotte, NC/ Iselin, NJ, / Chandler, AZ / Ohio, Delaware (Hybrid)**

- Must be a US Citizen/ GC only About Position: Identity & Access Management (IAM) Data Modernization – migration of an on‑premises SQL data warehouse to a target‑state Data Lake on Google Cloud (GCP), enabling metrics & reporting, advanced analytics, and GenAI use cases (natural language querying, accelerated summarization, cross‑domain trend analysis) leveraging PySpark‑based processing, cloud‑native DevOps CI/CD pipelines, and containerized deployments on OpenShift (OCP) to deliver scalable, secure, and high‑performance data solutions.

**What You'll Do:**

**DevOps / CI‑CD**

- Experience implementing CI/CD pipelines for data and analytics workloads

- Familiarity with Git‑based source control, build automation, and deployment strategies

**Containers & Platform**

- Experience with OpenShift Container Platform (OCP) for deploying data workloads and services

- Understanding of containerized architecture, scaling, and environment management

- Proven ability to build CI/CD pipelines for data and infrastructure workloads

- Experience managing secrets securely using GCP Secret Manager

- Ownership of observability, SLOs, dashboards, alerts, and runbooks

- Proficiency in logging, monitoring, and alerting for data pipelines and platform reliability

**Big Data & Processing**

- Hands‑on experience with PySpark for ETL/ELT, data transformation, and performance optimization

- Solid understanding of distributed data processing concepts

**Data & Cloud Architecture**

- Strong experience designing data platforms on Google Cloud Platform (GCP)

- Experience with Data Lakes, data warehousing, and large‑scale migration programs

**Data Lake Architecture & Storage**

- Proven experience designing and implementing data lake architectures (e.g., Bronze/Silver/Gold or layered models).

- Strong knowledge of Cloud Storage (GCS) design, including bucket layout, naming conventions, lifecycle policies, and access controls

**Data Ingestion & Orchestration**

-  Experience with Hadoop/HDFS architecture, distributed file systems, and data locality principles

- Hands-on experience with columnar data formats (Parquet, Avro, ORC) and compression techniques

- Expertise in partitioning strategies, backfills, and large-scale data organization

- Ability to design data models optimized for analytics and BI consumption

-  Experience building batch and streaming ingestion pipelines using GCP-native services

-  Knowledge of Pub/Sub-based streaming architectures, event schema design, and versioning

-  Strong understanding of incremental ingestion and CDC patterns, including idempotency and deduplication

-  Hands-on experience with workflow orchestration tools (Cloud Composer / Airflow)

-  Ability to design robust error handling, replay, and backfill mechanisms

**Data Processing & Transformation**

-  Experience developing scalable batch and streaming pipelines using Dataflow (Apache Beam) and/or Spark (Dataproc)

-  Strong proficiency in BigQuery SQL, including query optimization, partitioning, clustering, and cost control.

-  Hands-on experience with Hadoop MapReduce and ecosystem tools (Hive, Pig, Sqoop)

-  Advanced Python programming skills for data engineering, including testing and maintainable code design

-  Experience managing schema evolution while minimizing downstream impact

**Analytics & Data Serving**

-  Expertise in BigQuery performance optimization and data serving patterns

-  Experience building semantic layers and governed metrics for consistent analytics

-  Familiarity with BI integration, access controls, and dashboard standards

-  Understanding of data exposure patterns via views, APIs, or curated datasets

**Data Governance, Quality & Metadata**

-  Experience implementing data catalogs, metadata management, and ownership models

-  Understanding of data lineage for auditability and troubleshooting

-  Strong focus on data quality frameworks, including validation, freshness checks, and alerting

-  Experience defining and enforcing data contracts, schemas, and SLAs

**Good to have**

**Security, Privacy & Compliance**

-  Hands-on experience implementing fine-grained access controls for BigQuery and GCS

-  Experience with Sprint planning and helping team technically.

-  Strong stakeholder communication and solution‑architecture skills

**Expertise You'll Bring:**

- Experience: [10–14]+ years in DevOps and Data Architecture, 5+ years designing on Pyspark/GCP/OCP at scale; prior on‑prem → cloud migration a must.

-  Education: Bachelor’s/Master’s in Computer Science, Information Systems, or equivalent experience.

-  Certifications:Google Cloud Professional Cloud Architect/DevOps/OCP (required or within 3 months). Plus: Professional Data Engineer, Security Engineer

Flexible work from home options available.

Google Cloud Data Architect & IAM Data Modernization

Since 1973, East West Bank has served as a pathway to success. With 120 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multicultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities. And our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, high-tech and aviation help build sustainable businesses and expand our employees’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top performing commercial bank with an exclusive focus on the U.S. and Greater China markets. With a strong foundation, an enterprising spirit and a commitment to absolute integrity, East West Bank gives people the confidence to reach further.

Industry: Banking
Company Size: 1,001-5,000 employees

East West Bank

Since 1973, East West Bank has served as a pathway to success. With over 110 locations across the U.S. and Asia, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities, and our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, and high-tech help build sustainable businesses and expand our associates’ potential for career advancement.

Headquartered in California, East West Bank (Nasdaq: EWBC) is a top-performing commercial bank with a strong foundation, an enterprising spirit and a commitment to absolute integrity. East West Bank gives people the confidence to reach further.

East West Bank is seeking an experienced Enterprise Data Architect to define and lead the bank’s enterprise-wide data architecture strategy, standards, and target-state data ecosystem. This role will operate initially as an individual contributor with significant strategic influence across enterprise initiatives.

**Day-to-Day Responsibilities **

- Define and maintain the bank’s enterprise data architecture roadmap, including target-state architecture, data domains, canonical models, integration patterns, and modernization strategies aligned to business and regulatory priorities.

- Design and govern enterprise-wide data architecture standards, including logical and conceptual data models, metadata standards, reference architectures, naming conventions, and data lifecycle management practices.

- Partner with business and technology stakeholders to establish scalable enterprise data domains and master/reference data strategies across critical banking entities such as customer, account, product, transaction, and legal entity.

- Lead architecture design and governance for enterprise data platforms leveraging Azure-native technologies, including:

- Azure Databricks

- Azure Data Lake Storage (ADLS Gen2)

- Azure Synapse Analytics

- Azure Data Factory

- Microsoft Fabric

- Power BI ecosystem

- Define reusable data integration and interoperability patterns across operational systems, cloud platforms, APIs, streaming frameworks, and downstream analytical environments.

- Develop enterprise architecture guidance for data products, lakehouse architecture, metadata management, lineage, and semantic modeling, ensuring consistency and scalability across the organization.

- Collaborate with data governance, risk, compliance, and cybersecurity teams to establish architecture controls supporting:

- Data quality

- Data lineage

- Data retention

- Access governance

- Regulatory compliance

- Evaluate and recommend modern data architecture technologies, tooling, and frameworks, including metadata/catalog platforms, data observability solutions, and AI-ready architectures.

- Partner with data engineering and analytics teams to ensure architectural alignment across enterprise data initiatives, including machine learning, advanced analytics, regulatory reporting, and self-service BI.

- Participate in enterprise architecture review boards and technology governance processes, ensuring projects align with approved architectural principles and target-state standards.

- Create and maintain enterprise architecture artifacts, including:

- Data flow diagrams

- Conceptual/logical data models

- System interaction diagrams

- Reference architectures

- Architecture decision records (ADRs)

- Serve as a senior technical advisor to executive leadership, translating complex architecture concepts into actionable business and technology strategies.

- Assess emerging trends in enterprise data architecture, AI/GenAI enablement, semantic layers, and data mesh/data fabric frameworks to guide future-state capability planning.

**Required Qualifications **

- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management, or a related technical discipline.

- 10+ years of progressive experience in enterprise data architecture, data engineering, solution architecture, or large-scale data platform modernization, preferably within banking or other highly regulated industries.

- Deep expertise in enterprise data architecture principles, including:

- Conceptual/logical/physical data modeling

- Data integration architecture

- Master data management (MDM)

- Metadata management

- Data lineage and governance frameworks

- Strong experience designing and implementing cloud-native enterprise data platforms, particularly within an Azure ecosystem, including Azure Databricks, Synapse, Azure Data Factory, ADLS Gen2, and Microsoft Fabric.

- Strong understanding of modern enterprise architecture patterns, including:

- Lakehouse architecture

- Data mesh / data fabric concepts

- Event-driven architecture

- API-based integration

- Distributed data processing frameworks

- Experience with enterprise data modeling and architecture tools such as:

- Erwin

- ER/Studio

- Lucidchart

- Visio

- Collibra

- Microsoft Purview

- Strong knowledge of enterprise metadata management, data cataloging, and lineage frameworks supporting regulatory and operational transparency.

- Experience establishing architecture standards and governance processes across large-scale, cross-functional enterprise environments.

- Strong understanding of banking regulatory and risk management considerations related to data governance, privacy, retention, and auditability.

- Experience partnering with engineering, analytics, cybersecurity, infrastructure, and business stakeholders to drive enterprise-wide architectural alignment.

- Strong communication and stakeholder management skills, with the ability to influence senior leadership and drive consensus across technical and non-technical teams.

- Ability to operate effectively as a highly autonomous individual contributor, balancing strategic planning with hands-on architectural leadership.

**Preferred Qualifications **

- Master’s degree in Computer Science, Information Systems, Data Architecture, or related discipline.

- Experience within commercial banking, consumer banking, risk management, regulatory reporting, or enterprise analytics environments.

- Familiarity with banking regulatory frameworks and standards related to BCBS 239, SR 11-7, CCAR, CECL, AML/BSA, and enterprise risk reporting.

- Experience designing architecture for AI/ML and GenAI-enabled platforms, including vectorized data architectures, semantic search, and AI-ready data pipelines.

- Experience implementing enterprise metadata/catalog and governance solutions such as Collibra, Alation, Microsoft Purview, or Informatica.

- Knowledge of enterprise integration and messaging frameworks, including Kafka, RESTful APIs, and event-driven architecture patterns.

- Architecture certification(s) such as:

- Azure Solutions Architect Expert

- Databricks Certified Professional

- Prior experience building or scaling enterprise architecture or data governance functions.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

**Compensation **

The base pay range for this position is USD $150,000.00/Yr. - USD $250,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.

Enterprise Data Architect

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Mastercard

**Our Purpose**

~~Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.~~

**Title And Summary**

Principal Software Engineer, Data Architecture

**Overview**

Mastercard’s Data & Analytics organization is seeking a visionary Principal Software Engineer, Data Architecture to shape and evolve our global enterprise data architecture. Reporting to the SVP, this role serves as the senior technical authority defining how data is designed, governed, secured, and distributed across Mastercard’s complex, global ecosystem.

You will set the architectural vision for modernizing data platforms across a hybrid cloud and on premises environment, supporting both high throughput batch processing and low latency, real time use cases. Your leadership will enable Mastercard’s “edge everywhere, run anywhere” strategy, allowing products and platforms to deploy data workloads consistently, securely, and at scale across our worldwide footprint.

This role combines deep hands on technical expertise with enterprise influence, enabling Mastercard to unlock the full value of its data while meeting stringent regulatory, resiliency, and performance requirements.

**Role**

-  Serve as the foundational technical leader for enterprise data architecture, partnering closely with the SVP and senior technology leadership.

-  Act as a trusted advisor to C suite and executive stakeholders, translating business strategy into scalable data architecture decisions.

-  Define and evolve the global data architecture roadmap across hybrid (cloud + on prem) environments.

-  Architect secure, resilient solutions that meet global regulatory and compliance mandates, including GDPR, ISO 20022, and regional data localization requirements.

-  Champion Data Mesh principles, treating data as a product with federated ownership, governance, and self service enablement.

-  Establish organization wide architecture standards and development best practices through the Data & Analytics Architecture Review Board.

-  Lead the modernization of legacy data platforms to cloud native architectures across AWS, Azure, and GCP.

-  Drive adoption of modern data technologies, including Databricks, Snowflake, Delta Lake, and streaming platforms.

-  Enable both real time and batch analytics use cases to support high availability, mission critical workloads.

-  Mentor and influence global engineering teams, fostering a culture of technical excellence, accountability, and thoughtful risk taking.

**All About You**

-  Proven experience operating as a Principal Engineer or equivalent, leading enterprise scale data architecture or platform strategy.

-  Deep expertise designing, building, and operating distributed data systems at global scale.

-  Hands on experience with technologies such as Apache Spark, Kafka, Flink, and NiFi.

-  Demonstrated success modernizing data platforms using cloud native architectures across AWS, Azure, and/or GCP.

-  Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.

-  Strong understanding of data governance, security, and regulatory compliance in highly regulated, global environments.

-  Proven ability to lead and influence architectural initiatives within Agile, SAFe, or product centric delivery models, partnering effectively with product, engineering, and business stakeholders.

-  Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders.

-  Strong executive presence with the ability to translate complex architecture concepts into business language.

-  Exceptional communication skills, with the ability to articulate complex technical concepts to executive and non technical audiences.

-  Strong Decency Quotient (DQ) with a track record of building inclusive, collaborative, high performing teams.

-  Bachelor’s degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

**Corporate Security Responsibility**

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

- Abide by Mastercard’s security policies and practices;

- Ensure the confidentiality and integrity of the information being accessed;

- Report any suspected information security violation or breach, and

- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

**Pay Ranges**

O'Fallon, Missouri: $170,000 - $281,000 USD

Arlington, Virginia: $196,000 - $323,000 USD

New York City, New York: $204,000 - $337,000 USD

Principal Software Engineer, Data Architecture

SiritechSolutions Corp (“Siritech”) is an IT professional services firm providing expertise to empower clients’ businesses. We have proven expertise in the areas of Application Development, Business Intelligence, Enterprise Resource Planning and Infrastructure Optimization that improves business performance. We deliver best-in-class solutions to serve client needs. 

In an industry that is constantly changing, SIRITECH the face of stability. We are a thriving company. We have focused solely on Information Technology services since our inception. We’re proud of the trusted, long-term relationships we’ve built with our clients and consultants, including companies we’ve done business with since day one, and IT professionals who have worked with us.

Industry: Information Services
Company Size: 51-200 employees

SIRITECH SOLUTIONS CORP

**Total Required Experience in Years: Minimum 7+ Years (DBMS Management & ETL/Data Engineering), Minimum 3+ Years (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Purview)**

**Job Description: **Seeking an experienced Data Architect to support enterprise data warehouse modernization initiatives through enterprise data architecture, logical and physical data modeling, ETL design, source-to-target mapping, governance, and data optimization activities. The ideal candidate should possess strong expertise in large-scale database systems, Azure-based data platforms, ETL engineering, SQL, Spark, Python, and Scala while supporting secure, compliant, and high-performing enterprise data solutions. This role requires hands-on experience designing Operational Data Stores (ODS), data warehouses, data marts, data lineage, metadata standards, governance procedures, and performance optimization while ensuring regulatory, security, privacy, and audit readiness requirements are met.

**Key Responsibilities**

-  Define enterprise logical and physical data models for large-scale data environments

-  Develop source-to-target mappings and transformation strategies for enterprise systems

-  Design Operational Data Stores (ODS), data warehouses, and data mart structures

-  Establish data standards, metadata rules, naming conventions, and governance procedures

-  Define and maintain data quality rules, validation standards, and lineage processes

-  Lead enterprise data ingestion, transformation, and data distribution strategies

-  Optimize database performance, indexing, batch processing, error handling, and recovery strategies

-  Support high-performance ETL pipeline development and enterprise data integration

-  Partner with developers, analysts, architects, and stakeholders to align enterprise data architecture needs

-  Produce technical documentation for models, mappings, governance standards, and audit readiness

**Additional Responsibilities**

-  Act as Subject Matter Expert (SME) for enterprise data architecture best practices

-  Advise teams on integration patterns, modeling strategies, and technology selection

-  Support regulatory, privacy, traceability, and compliance requirements

-  Maintain secure and compliant data governance frameworks including RBAC implementation

-  Complete department security awareness requirements and background verification activities

-  Support continuous improvements in enterprise data management and modernization efforts

**Required Skills**

-  Minimum 7 years managing large and complex DBMS environments

-  Minimum 7 years of ETL development and data engineering experience

-  Minimum 3 years of hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Purview

-  Strong SQL development and optimization expertise

-  Experience building scalable and high-performance ETL pipelines

-  Expertise in Spark, Python, and/or Scala for data processing

-  Strong understanding of Azure data governance, RBAC, and security protocols

-  Experience implementing secure, compliant ETL and enterprise data solutions

-  Strong enterprise data modeling, lineage, governance, and optimization experience

**Qualifications**

-  Strong expertise in enterprise data architecture and modernization initiatives preferred

-  Experience advising teams on data modeling, architecture, and integration strategies preferred

-  Experience supporting secure, regulated, or compliance-driven environments preferred

-  Strong documentation, governance, and stakeholder collaboration skills preferred

-  Experience with AWS warehouse environments, AWS S3, and Data Sync preferred

-  Knowledge of compliance frameworks involving CJI, HIPAA, and PII preferred

**Certifications**

-  Microsoft Azure Data Engineer Associate preferred

-  Azure Solutions Architect Expert preferred

-  Azure Fundamentals preferred

-  Databricks Data Engineer Associate preferred

Data Architect  OBIS Modernization Project

Silicontek is an information technology and services company based in San Jose, California, United States.

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

Silicontek Inc

**Role GCP Data Solutions Architect**

**Location Remote**

**Notes: The Data Solutions Architect's critical work will include rearchitecting their extracts service and developing a more reusable extracts framework, along with other Data Architecture activities.**

**Role Overview**

The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and managing the data solutions. The DSA will work in a collaborative team environment to assess requirements, define data/technical strategy and deliver solutions. The DSA must also have a vision for proper data architecture, system design and will help drive strategies around implementing and improving data solutions.

In addition, the DSA should have strong ability to explore new tools and pilot POC/POV and new solutions.

**Key Responsibilities**

- Review/Assess existing data architecture and platform components, and define potential future data architecture roadmap/direction aligning to business objectives, data integrity, availability and security

- Evaluate current tools, services, and technologies in use across the data stack and propose go forward aligning to future, needs and cost optimization

- Design and establish data management frameworks, including data ingestion, storage, processing and retrieval process that support operational and analytical needs

- Design and establish data integration patterns including third party SaaS integration covering batch, near real time and realtime needs

- Evaluate and select appropriate (and emerging) technologies/tools that meets the business needs

- Work closely with stakeholders across the organization, including external teams, product managers, developers and and enable collaborative data culture

- Discover, analyze and scope data requirements & create high level process models to represent processes for the area under analysis

- Proactively research and share emerging technologies and right solution fitment

- Arrive at solutions including data flow diagrams, process diagrams, use case models, etc

- Guide & mentor junior Architects and Data Engineers

- Hands on Data Modeling for Operational Data Store and Data Warehouse applications

- HL7 to Target Data Model and Target Data Model to FHIR Mapping

- Extensive Extracts strategy and reusable framework design

**Qualification & Skills Required**

- Bachelor s or Master s degree preferably in Computer Science or Information Technology or related field

- 10+ years of experience in data strategy, architecture, data integration with at least 5 years in Architect role

- Healthcare domain experience

- Proven experience designing and implementing enterprise-scale data architectures

- Strong experience in modern data architecture patterns

- Strong hands-on experience with cloud data solutions. Particularly with GCP services like BigQuery, DataForm, Dataproc, DataFlow, CloudSQL, Spanner, etc

- Implementation experience of cloud architecture patterns

- Expertise in ETL/ELT Tools, Services and frameworks for handling large scale data processing

- Exposure various data integration patterns supporting batch, near realtime, real time with hands on implementation experience including Tools, API, pub/sub, etc

- Hands on reusable extracts framework and components design

- Hands on third party integration experience with Salesforce, etc

- Experience with Microservices architecture preferred

- Proficiency in programming languages and scripting for automation

- Strong Data Modeling experience

- Proficiency with a range of database systems and hands on experience in data warehousing technologies

- Strong interpersonal and communication skills

**Education**

- Bachelors or Masters in Information Technology, Computer Science or relevant field.

GCP Data Solutions Architect

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you have the opportunity to create something exceptional, build something sustainable and make a real impact. We are BUILT FOR THE WILD™.

Industry: Manufacturing
Company Size: 501-1,000 employees

YETI

At YETI, we believe that time spent outdoors matters more than ever and our gear can make that time extraordinary. When you work here, you’ll have the opportunity to create exceptional, meaningful work and problem solve with innovative team members by your side. Together, you’ll help our customers get the high-quality gear they need to make the most of their adventures. We are BUILT FOR THE WILD™.

The Senior Data Engineer will be part of a team that designs, builds, and operates YETI’s enterprise data platform with a strong emphasis on Azure Databricks and Google BigQuery. This role is critical to enabling modern analytics, advanced reporting, and data-driven decision-making across the enterprise. This position offers an extremely rare and unique opportunity to join a highly profitable, fast-growing business.

This role requires a blend of skills typically found in the specialized roles of Data Modeler, Data Architecture, Data Analyst, and Administration of Data tools. Additionally, having experience in agile development, and how to balance the need to maintain operations versus the need to build things the right way is an absolute must.

**Responsibilities**

- Work with business customers and data analysts to define detailed requirements from broader business challenges

- Translate those requirements to logical and physical models that satisfy analytical needs

- Design and build scalable ELT/ETL pipelines using Google Stored Procedures in BigQuery, Databricks, Spark, Airflow/Google Composer and Google Dataflow

- Lead development of analytical data models using Databricks and Google BigQuery

- Integrate SAP data sources including SAP HANA and S/4HANA

- Optimize data performance of Google Vertex AI engineering and ML pipelines

- Partner with business and analytics teams to translate requirements into technical solutions

- Enforce data quality, reliability, and governance best practices

- Perform data profiling and analysis to assess data quality patterns, recommend data cleansing rules, conforming data standard rules and matching algorithms

- Build Data pipelines for SAP and non-SAP data sources to load into BigQuery

- Own the data infrastructure of our existing Google BigQuery Data warehouse and other related GCP services

- Assist ETL and BI developers with complex query tuning and schema refinement

**Qualifications And Attributes**

- Bachelor’s degree in computer science or related discipline

- At least 8 years of experience in data engineering primarily in Google BigQuery and intermediate skills in Databricks.

- Expert in writing, analyzing and tuning complex SQL queries

- Extensive experience with Python programming

- Hands-on experience in GCP BigQuery, Google Airflow, Dataflow and Databricks.

- Must have a good understanding of Dimensional Modeling and ER-Modeling

- Candidates should demonstrate openness to adopting unfamiliar tools and acquiring proficiency in new programming languages.

- Strong problem-solving ability and a positive attitude

- Experience in extracting data from SAP HANA and Salesforce tools

- Experience/Knowledge of SAP Datasphere is a huge plus.

- Experience with Java and NodeJS

- Terraform, Docker, and CI/CD experience preferred

LW1

**Benefits & Perks**

Click here to learn about the benefits and perks we offer at YETI.

**YETI is proud to be an Equal Opportunity Employer.**

~~Our commitment to creating a diverse, equitable, and inclusive culture is at the center of everything we do for our employees. We embrace all applicants looking to bring their authentic selves to YETI and contribute to our mission of keeping the wild WILD. Find out more about our commitment to DE&I at yeti.com/esg.html.~~

~~All applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.~~

YETI Applicant Privacy Notice

~~YETI welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require accommodation in order to apply for a job, please contact us at accommodationrequest@yeti.com. ~~

Sr. Data Engineer

At Stratagem, we're passionate about harnessing the power of technology to drive progress and transform the way our clients do business. That's why we're dedicated to using it innovatively to help our clients stay ahead and competitive in a rapidly evolving landscape. 

Our unwavering commitment to innovation has been the driving force behind our success, setting us apart from the competition and attracting the attention of a Fortune 500 company as one of our first clients. Our team takes a comprehensive approach to each project, collaborating closely with clients to understand their specific needs and create customized solutions that drive real results. By combining cutting-edge technology with a deep understanding of our client's goals, we deliver results that are truly impactful

At Stratagem, we believe that work should be both fulfilling and fun. We have created a work environment where our team members feel valued and supported. We are a diverse group of individuals, each bringing unique perspectives and skills to the table, and we are united in our passion for technology and our commitment to delivering the best possible results for our clients.

In today's fast-paced business environment, staying ahead of the curve is more important than ever. With the right partner, you can rest assured that you're working with the best. 

Book a consultation with us today and discover how our team of IT solutions can help you transform your business.

Industry: IT Services and IT Consulting
Company Size: 11-50 employees

Stratagem Consulting

**Company Description **

Stratagem Consulting is dedicated to leveraging cutting-edge technology to help clients stay competitive in a rapidly evolving business landscape. Known for its commitment to innovation, the company has earned a reputation for delivering impactful solutions for businesses, including Fortune 500 clients. With a focus on collaboration and tailoring strategies to meet specific needs, Stratagem consistently drives measurable results. Our diverse and supportive work environment fosters creativity and ensures that team members feel valued. At Stratagem, we combine expertise with passion, making a significant impact on the success of our clients.

Role Summary

We are looking for a "data person” to play a hybrid Data Architect + Data Analyst role for the discovery phase, with data architecture as the non-negotiable core skill.

The data person will help the team understand the current data landscape, assess data gaps, and define the future-state data architecture needed to support the discovery outcomes.

Key Responsibilities

- Current-state data analysis

- Attribute-level mapping and gap identification

- Future-state data architecture

- Data platform assessment

- Define data requirements for downstream solutioning

- Partner with internal client teams

Preferred Qualifications

- Strong experience in Data Architecture, Data Analysis, or Data Strategy roles within enterprise environments.

- Hands-on experience performing data discovery, data mapping, and data gap analysis across multiple systems.

- Understanding of data modeling concepts, data integration patterns, and enterprise data architecture principles.

- Experience working with operational, inventory, retail, supply chain, or financial data environments preferred.

- Familiarity with data visualization and reporting tools such as Power BI, Tableau, or similar platforms.

- Knowledge of cloud data platforms and modern data ecosystems is a plus.

- Strong analytical, problem-solving, and stakeholder management skills.

- Excellent communication skills with the ability to translate technical concepts into business-friendly language.

- Experience working in cross-functional discovery or transformation initiatives preferred.

- Ability to work independently while managing multiple priorities in a fast-paced environment.

Data Architect

CloudIngest is a full-service tech software firm. Our expert technical team maintains strong core competencies in Big Data, Business Intelligence & Analytics, Cloud Services, Digital Transformations, Mobility Solutions, Natural Language Processing, APIs, Software Development & Integration, Staffing and Staff Augmentation, as well as Kubernetes, DevOps – Ansible and Terraform and Site Reliability Engineers, Azure HDInsights, DataFactory, ADLS Gen2, Azure Analytics Services, HDP ( Hortonworks Data Platform) , HDF ( NiFi) and Spark, AWS EMR, AWS Glue, AWS Athena, AWS DynamoDB, and Lambda
GCP (everything in and out).

We possess extensive practical experience in Management, Business, and Economics. We stay up-to-date on emerging trends in terms of both the evolving cloud-based tech stack and client considerations in terms of Financial Billing and Payments.

Our team consists of Client Intake Managers, Project Managers, Software Developers, Quality Assurance, and Integrative Solution and NLP Specialists all of whom are fully-equipped and ready to interface with members of your existing team. We are experienced working with client-side Project Managers as well as Designers and C-Suite business executives. 

We offer Software Development & Integration services on a flexible consultancy basis. Our Project Managers begin by reviewing your unique case to understand not only technical requirements but also Business, Management, and Consumer-Oriented needs.

We value customer satisfaction as well as the cultivation of continued-client relationships above all. We support our clients' unique needs and Business Aims rather than imposing our preconceived notions of which technologies to use. Thanks to our extensive knowledge of Big Data, Cloud Services, and wide range of problem-solving tools, we're capable of tackling challenges efficiently and with tailored solutions for each customer. Our tools give you the power to work in challenging and cost effective settings.

Industry: Software Development
Company Size: 11-50 employees

CloudIngest

**Role: Data Architect **

**Location: Dallas, TX (On-Site) **

**Duration: 6-12 months with multiple extensions **

**Rate: $62/hr on W2 (NO C2C) **

**Required skills **

Data Architect

Data modeler

Databricks and Iceberg. BI Designing

**Nice to Have Skills **

- Strong technical skills with Snowflake and Databricks with hands-on experience

- Understanding of Data Modelling and Data Architecture

- Understanding of AWS

- Strong SQL background

**Job Description **

Leads and builds data modernization and transformation solutions. The Application Architect – Data Modernization will work with technical leads, database administrators, and database developers to provide recommendations and solutions for like-for-like data migrations at scale, Extract/Transform/Load (ETL) activities for multiple data and database technologies, such as:

- Oracle to PostgreSQL

- Oracle to SQL Server as a Service

- Relational to NoSQL

- Data Warehouse to Data Lake solutions

- Indexed file systems to database management systems

- Data transformation of business rules between COTS systems

**Responsibilities **

- Transform business requirements into technical specifications

- Develop prototypes and proof of concepts for specified business challenges

- Assist clients in architecting scalable, highly available data migration solutions leveraging cloud technologies

- Utilize agile development methodologies

**Expected Knowledge and/or Experience **

Focus on Data ETL activities with knowledge and/or experience in:

- RDBMS: Oracle, PostgreSQL, SQL Server, Amazon RDS, etc.

- Data Lake technologies

- Data Transformation tools:

- IBM InfoSphere DataStage

- Informatica PowerCenter

- Microsoft SSIS

- Oracle Data Integrator

- XML

- JSON

- NoSQL

- Python

The Data Sherpas emerge as a beacon of expertise and innovation in the rapidly evolving digital era. We are partners in progress, guiding businesses through the complexities of their digital transformation journeys.

Our team is a blend of seasoned professionals, analytical thinkers, and creative problem-solvers. Each member brings a wealth of experience and a passion for innovation. This diverse skill set and our unwavering commitment to excellence uniquely position us to tackle the most challenging technological conundrums.

Our areas of specialization are vast and varied. Whether navigating the realms of public clouds with industry giants like Amazon, Google, and Microsoft or diving deep into the intricacies of data analytics, AI, and ML, we have either already charted those waters or possess the expertise to do so. We don't just work on technology; we work with it, molding it to fit each client's unique requirements and aspirations.

Beyond our technical prowess, we understand the business side of things. We recognize that efficiency is as crucial as expertise in today's competitive market. Hence, while our services rival the most prestigious IT consulting firms regarding quality and depth, we operate without the burdensome overhead. This lean approach allows us to focus singularly on what truly matters: delivering successful outcomes for our clients.

Collaboration lies at the heart of our ethos. We believe in forging strong, lasting partnerships, not just with our clients but also within our team. By fostering a culture of mutual respect, continuous learning, and open communication, we ensure that every project we undertake benefits from many perspectives and is executed flawlessly.

At The Data Sherpas, we don't just provide solutions; we chart the path forward, ensuring our clients are always ahead in the ever-evolving technological landscape. Partner with us and embark on a journey of innovation, growth, and unparalleled success.

Industry: Information Technology & Services
Company Size: 11-50 employees

The Data Sherpas

**Data Architect **

Full-time · Onsite (Greater Cleveland, OH Area)

**ABOUT THE ROLE **

A prominent manufacturing organization in the Greater Cleveland area is seeking a pragmatic, detail-oriented Data Architect to spearhead a major data modernization initiative. This critical enterprise project involves transitioning core data ecosystems from a legacy Siebel environment into Salesforce and Snowflake.

Serving as the technical anchor for the data migration strategy, the Data Architect will collaborate directly with onsite engineering and business teams. This individual will tackle complex data mapping challenges, untangle legacy Siebel structures, and design scalable schemas in a multi-cloud environment to ensure the new Snowflake data warehouse is optimized for long-term analytics. For a professional who enjoys the puzzle of turning legacy complexity into clean, modern data architectures, this project offers high impact and visibility.

**KEY RESPONSIBILITIES **

- **Lead Data Mapping & Migration **: Own the comprehensive source-to-target data mapping, transformation logic, and lineage tracking required to migrate legacy Siebel data into Salesforce and Snowflake

- **Architect Snowflake Solutions **: Design, optimize, and maintain Snowflake environments, ensuring clean data modeling, efficient data sharing, and robust warehouse performance

- **Modernize Data Structures **: Collaborate with onsite engineering and business stakeholders to translate legacy Siebel data models into scalable, modern CRM and analytical data schemas

- **Ensure Data Governance **: Establish and enforce data quality standards, access patterns, and security guardrails across a multi-cloud data landscape

- **Collaborate Cross-Functionally **: Work closely alongside Salesforce teams, data engineers, and business analysts to ensure a seamless data transition with minimal business disruption

**REQUIRED QUALIFICATIONS **

- **5+ years of experience ** in data architecture, data modeling, or data warehouse design

- **Legacy System Migration Expertise **: Proven experience working with or migrating data away fr**om Sie **bel (or closely related legacy CRM/ERP systems like Oracle EBS), with a deep understanding of complex legacy data schemas

- **Deep Expertise with Snowflake **: Strong production experience designing and optimizing Snowflake environments (SnowSQL, data sharing, schema design)

- **Advanced Data Mapping Skills **: Demonstrated success leading extensive source-to-target data mapping and lineage tracking for large-scale enterprise migrations

- **Expert SQL Skills **: Ability to reverse-engineer complex, nested legacy queries and write clean, optimized code for modern cloud platforms

- **Multi-Cloud Familiarity **: Hands-on experience working within major cloud ecosystems (AWS, Azure, or GCP)

- **Location **: Ability to work full-time onsite in the Greater Cleveland, OH area, 5 days a week

- **Education **: Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is a plus

**NICE TO HAVE (PREFERRED) **

- **Salesforce Experience **: Familiarity with the Salesforce data model, standard/custom objects, and CRM data integration patterns

- **Certifications **: Active Snowflake SnowPro Core/Advanced or cloud provider certifications (AWS, Azure, GCP)

- Experience with dbt for transformation workflows and data documentation

**What We Offer **

- Competitive salary and performance-based incentives

- Comprehensive health, dental, and vision coverage

- Professional development and training opportunities

This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.

We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world. For more information, visit www.blend360.com

Industry: Professional Services
Company Size: 501-1,000 employees

Blend

BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.

**Job Description**

This is an hourly position that could become permanent over time.

We are looking for a highly skilled Data Architect to lead architecture design for a large-scale Marketing Data Layer initiative supporting a major telecommunications provider. This role will be responsible for defining scalable ingestion frameworks, modern data lake architecture, and data integration standards that enable reliable, near-real-time marketing data access across the enterprise.

This is an opportunity to shape a high-impact AWS-based data ecosystem while partnering closely with client stakeholders, data engineering teams, and cross-functional business leaders.

What You’ll Do

- Design and own the ingestion architecture that moves data from 20+ enterprise source systems into the AWS Marketing Data Layer

- Define scalable ingestion patterns for both legacy and direct source integrations across 18 business and data domains

-

Architect and document data contracts between source systems and the data layer, including:

Schema standards and versioning

SLAs and freshness expectations

Data quality and governance requirements

-

Design and optimize AWS S3 data lake structures, including:

Raw, staged, and curated zones

Partitioning and storage strategies

Lake Formation access controls and governance policies

- Define Change Data Capture (CDC) and streaming ingestion patterns to support near-real-time data freshness requirements

- Translate conceptual and logical architecture into detailed, implementable technical specifications for distributed and nearshore Data Engineering teams

- Partner with engineering leadership and client stakeholders to ensure scalability, performance, maintainability, and operational excellence across the platform

- Provide technical leadership and architectural guidance throughout the delivery lifecycle

**Qualifications**

Required Skills

-

Strong experience with AWS data services including:

AWS Glue

Amazon S3

AWS Lake Formation

- Amazon Athena

- Deep expertise in modern data lake architecture and large-scale data ingestion frameworks

- Experience designing CDC and streaming-based ingestion patterns

- Strong understanding of data contracts, schema management, and data governance principles

- Advanced experience with Python and PySpark

- Strong knowledge of distributed data processing and cloud-native architecture patterns

- Ability to create clear architectural documentation and implementation specifications for engineering teams

Required Experience

- 10+ years of experience in data engineering, data platform architecture, or related disciplines

- 3+ years serving in a Data Architect or Solution Architect capacity

- Experience working in large enterprise environments with complex, multi-source data ecosystems

- Experience supporting marketing, customer, or analytics-focused data platforms preferred

- Telecommunications industry experience is a plus

What Makes You Successful

- You are systems-oriented and think strategically about scalability, reliability, and long-term maintainability

- You can balance architecture vision with hands-on technical depth

- You communicate complex technical concepts clearly to both engineering and business stakeholders

- You thrive in collaborative, fast-moving consulting environments

- You bring a product mindset to enterprise data platforms and care deeply about operational excellence

**Additional Information**

The starting pay range for this role is $85 - $95/hr.  Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.

Sr. Data Architect

For over 80 years, Gerber Collision & Glass has specialized in performing high-quality automotive collision repairs. We understand that being involved in a collision is a stressful experience, and we're here to help you every step of the way.

Industry: Motor Vehicle Manufacturing
Company Size: 5,001-10,000 employees

Gerber Collision & Glass

**Company: Gerber Collision & Glass**

**Great Teams Don’t Happen by ** ~~**Accident** ~~**Built with Intent. Driven by YOU.**

At the Boyd Group, our teams work to provide the elite infrastructure and supportive environment you need to **Be the Best and outperform at every touchpoint ** in collision and glass services. As we continue to grow and lead the industry, we ensure you have the resources and the team behind you to move your career forward.

**Ready to grow with a team that’s built for your success? Apply today.**

**Our Commitment:**

The Boyd Group welcomes unique talents from all backgrounds and characteristics. We act with integrity and appreciate the diverse perspectives that make our "Greater Team" exceptional. Qualified individuals, including those with disabilities and Protected Veterans, are encouraged to apply.

**Job Description:**

**Job Summary**

The AI & Data Architect is a high-impact role responsible for accelerating our AI maturity and optimizing the data ecosystem that supports it. This role focuses on defining and implementing foundational elements for AI adoption - Architecture patterns (Gen-AI, RAG, MCP, Agentic workflows etc.), tooling, process & governance in collaboration with other stakeholders. This role will be key contributor to broad architecture of high-performance Data & BI platforms and solutions, ensuring Data platforms are key enablers of AI adoption journey

The role reports to the Head of Ent. Architecture and is responsible for working very collaboratively with the Head of Data & BI platform, in order to develop and implement a coherent AI & data strategy.

**Key Job Responsibilities**

Strategy, Roadmap & Innovation

- Strategy: In collaboration with Head of Enterprise Architecture, Data Engineering and BI to develop and execute AI & Data Strategy, in ensuring technical goals align with broader business objectives.

- Roadmap Development: Build and maintain a multi-year AI/Data Roadmap, identifying key milestones for capability maturity, tool adoption, and infrastructure upgrades.

- AI Solution Design: Design and implement architectural patterns for Generative AI, including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and Agentic AI frameworks.

- Innovation & Modern DevEx: Explore the impact of AI on the software lifecycle, including AI-driven testing and emerging trends like "Vibe Coding" to accelerate development velocity.

- Prototyping & PoCs: Lead Proof-of-Concept projects to evaluate new AI tools and techniques, moving successful experiments into production-ready environments.

Data Platform & Governance

- Modern Data Stack: Help define the evolution of the Data Platform architecture (AWS data ecosystem - S3, Lake Formation, Redshift, Airflow, Lambda) to ensure it is performant and "AI-ready."

- Architecture Governance: Define and enforce best practices for AI security, prompt engineering standards, and the ethical use of machine learning models.

- Pipeline Architecture: Design scalable ETL/ELT pipelines and data modeling strategies that support both real-time AI needs and historical BI reporting.

- BI Optimization: Oversee the architectural health of our BI layers (e.g., Domo) to ensure dashboards and self-service analytics are powered by clean, governed data.

**Minimum Education And/or Experience Required For The Job**

- AI Expertise: 2–3 years of hands-on experience with AI/ML implementations, focusing on GenAI patterns and LLM orchestration.

- Data Engineering: 5+ years of experience in data architecture or engineering, with deep knowledge of data warehousing, lakehouses, and distributed processing.

- Cloud & Tools: Strong proficiency in the AWS Data Stack, Python, and SQL.

- Collaborative Execution: Ability to work with engineering teams to build the "plumbing" while working with business stakeholders to deliver the "intelligence."

**Required Knowledge, Skills, & Abilities**

- Industry Knowledge: awareness of the top AI solution providers and the rapidly evolving ecosystem of LLM providers and AI startups.

- Advanced AI Patterns: Familiarity with AI-driven Software Development Life Cycle (SDLC) enhancements and testing automation.

- Data & BI Ecosystem: Knowledge of leading platforms beyond the core stack, including: Data Platforms: Snowflake, Databricks, or Azure Data Lake, BI Tools: Power BI, Tableau, or Qlik.

- Emerging Trends: Understanding of the shift toward natural language programming/orchestration (e.g., Vibe Coding) and standardized context sharing (MCP).

**Preferred Education And/or Experience**

- Strategic Influence: You won't just execute; you will help the Head of EA build the foundational strategy and roadmap for the entire department.

- Innovation-First: You are encouraged to stay at the forefront of AI, implementing cutting-edge protocols like MCP and Agentic systems.

- Career Growth: This role offers a direct path to senior architectural leadership through high-visibility projects and executive-level collaboration.

~~Please note, this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.~~

~~The physical demands of your job must be met to successfully perform the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the job.~~

**Benefits That Drive Your Success**

Gerber offers the comprehensive benefits you expect from an industry leader, including:

- Annual Paid Time Off (PTO) plans

- 2 weeks of Paid Parental Leave for Full time Employees who work a minimum of 30 hours per week

- 6 paid holidays annually

- Medical, Prescription Drug, Dental & Vision Insurance effective Day 1

- 401(k) Retirement Plan with company match

- Employer Paid Short-Term Disability & Life Insurance

- Additional Voluntary Life Insurance

- Continuing Education Opportunities

- Free Prescription or Non-Prescription Safety Glasses annually

- Annual Voluntary Uniform Stipend

- Voluntary Daily Pay option available

**About Us**

Gerber Collision & Glass has been WOWing customers with our collision repair services for over 80 years. Please visit gerbercareers.com to learn more about our company.

**AI Disclosure Statement:**

~~At The Boyd Group and all affiliated companies, we do not use artificial intelligence (AI) or automated tools to screen, assess, or select applicants for employment. All hiring decisions are made by real people who review each application individually.~~

**Compensation Details:**

**$145,000 - $160,000 / Year**

**Supplemental Pay:**

**Compensation is commensurate with skill, education and experience.**

**This position may also be eligible for Bonus opportunities tied to individual or business initiatives.**

**Benefits That Drive Your Success**

Gerber offers the comprehensive benefits you expect from an industry leader, including:

- Flexible PTO Plan

- 2 weeks of paid parental leave for Full Time employees who work a minimum of 30 hour per week

- 6 paid holidays annually

- Medical, Prescription Drug, Dental & Vision Insurance

- 401(k) Retirement Plan with company match

- Employer Paid Short-Term Disability & Life Insurance

- Additional Voluntary Life Insurance

- Continuing Education Opportunities

- Free prescription or non prescription safety glasses each year

- Annual Voluntary Uniform Stipend

Data & AI Architect

We empower generations to explore the wonder of childhood and reach their full potential.

We treat play as if the future depends on it — because it does. Play is our language, and we speak to our consumers authentically by representing the world as they see and imagine it.

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers through our portfolio of iconic brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Monster High and MEGA, as well as other popular intellectual properties that we own or license in partnership with global entertainment companies.
 
Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies.

Mattel is recognized as a Great Place to Work™ and as one of Fast Company’s Best Workplaces for Innovators.

Industry: Manufacturing
Company Size: 10,001+ employees

Mattel, Inc.

**CREATIVITY IS OUR SUPERPOWER. ** It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

**The Opportunity:**

We are looking for an experienced **Solution Architect ** with deep expertise in **Cloud Data Warehousing and Google Cloud Platform (GCP) **. This role will drive end-to-end data architecture, enabling scalable, secure, and AI-ready data platforms that support advanced analytics and business decision-making.

**What Your Impact Will Be**

- Own and lead end-to-end solution architecture for data and analytics platforms

- Design scalable, high-performance data solutions using GCP services

- Define data architecture standards, best practices, and governance frameworks

- Build and optimize ETL/ELT pipelines for batch and real-time processing

- Collaborate with business stakeholders to translate requirements into technical solutions

- Drive cloud transformation and modernization initiatives

- Ensure data quality, security, compliance, and cost optimization

- Incorporate AI/ML capabilities to enable predictive and intelligent analytics

- Apply data mesh and domain-driven design principles to enable decentralized, scalable data ownership

- Provide technical leadership and mentorship to engineering teams

**What We’re Looking For**

**Data & Cloud**

- Strong experience in Data Warehousing (Star/Snowflake, Medallion, Data Vault)

- Hands-on expertise in GCP, including BigQuery, Pub/Sub, Cloud Storage, Composer (Airflow), Dataflow/Dataproc.

**Technical**

- Proficiency in SQL and Python

- Experience with ETL/ELT, data modeling, and performance optimization

- Knowledge of batch & streaming architectures and API integrations

**Architecture**

- Proven experience designing enterprise-scale data platforms

- Strong understanding of cloud architecture, distributed systems, and data security (IAM, governance)

- Experience with modern data architecture patterns, including data mesh and domain-driven architecture

**AI & Analytics**

- Understanding of AI/ML use cases in data platforms

- Familiarity with GCP AI tools (e.g., Vertex AI) and ML-ready data pipelines

**Preferred Skills**

- GCP Certifications (Professional Data Engineer / Cloud Architect)

- Experience with multi-cloud or hybrid environments

- Exposure to BI tools (Tableau, ThoughtSpot, Power BI)

- Knowledge of CI/CD and DevOps practices

- The pay range is indicative of projected hiring range, however base pay will be determined based on a candidate’s work location, skills and experience. Mattel offers competitive total pay programs, comprehensive benefits, and resources to help empower a culture where every employee can reach their full potential.

Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Join Mattel's Talent Community and start receiving exciting updates about our company, our employees, and our culture. Also, interested in signing up for job alerts? Do so here!

**How We Work**

We are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors

- We collaborate Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.

- We innovate At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.

- We execute We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.

**Who We Are**

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.

Visit us at https //jobs.mattel.com/ and www.instagram.com/MattelCareers .

Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment without regard to race, ethnicity, color, national origin, religion, sex, gender, gender identity or expression, sexual orientation, veteran and protected veteran status, disability status, and or any other basis protected by applicable federal, state or local law.

Pursuant to the Los Angeles Fair Chance Ordinance and the California Fair Chance Act, qualified applicants with arrest or conviction records will be considered for employment.

Videos to watch

The Culture at Mattel

Corporate Philanthropy

Solutions Architect - Cloud Data Warehousing (GCP)

Lam Research Corp. (NASDAQ:LRCX) At Lam Research, we create equipment that drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible. 

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.
The impact we have on the world is made possible by focusing on our people. We recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities. 

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible. 

Ready to help define the future of technology? Join us: www.lamresearch.com/careers

Industry: Semiconductor Manufacturing
Company Size: 10,001+ employees

Lam Research

**The group you’ll be a part of**

Global Information Systems

**The impact you’ll make**

As a lead data and cloud architect supporting digital transformation in GBIS (Global Business Intelligence Solutions) group at Lam Research, you'll be responsible for designing and developing data engineering and integration solutions for future systems. Your role includes drafting specifications, creating solution designs, coordinating with development teams, and collaborating with data architecture, business, and development groups. You'll also advise application and business development teams on complex analytics design, ensuring alignment with Data and Analytics Hub principles, standards, and strategies.

**What You’ll Do**

- Use leadership skills to drive process, data, analytics, and AI design from discovery to delivery.

- Collaborate with Business and GIS stakeholders to support big data platform initiatives and provide direction on defining data strategy and architecture for cloud-native platforms.

- Design and develop data engineering solutions and data governance specifications as part of digital transformation processes.

- Participate in business transformation workshops with subject matter experts to identify data and process gaps, proposing scalable data and analytics architectures to address those needs.

- Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement.

- Offer guidance and insights on emerging data analytics trends and technical capabilities that can enhance digital transformation across the company.

- Demonstrate advanced data and analytics solutions to digital transformation teams, showing the potential of the Data Fabric platform with proof-of-concept projects.

- Develop, uphold, and advocate for advanced analytics standards and procedures throughout the GIS Data Hub across the entire organization.

- Design planning and analytics solutions by integrating Workday Adaptive with the Azure analytics stack (Microsoft Fabric, Synapse, Power BI), including ETL/ELT pipelines to support enterprise decision-making.

- Build strong relationships with key business sponsors and IT resources to efficiently resolve work requests.

**Who We’re Looking For**

- Bachelor’s degree in Computer Science, Information Technology, MIS, Data Science, Analytics, or a relevant Engineering field; Master's or PhD preferred.

- Over 12 years of experience with modern data engineering, data warehousing, and data lake technologies on cloud platforms such as Azure, AWS, and Databricks.

- Over 10 years of SQL experience with cloud-native data warehousing and data modeling.

- Over 5 years of experience in building and supporting FP&A applications, integrating platforms such as Workday Adaptive, Anaplan, SAP BPC etc. with ERP systems and Azure data platform.

- Over 5 years of experience configuring Azure cloud and SaaS platforms and building automated ETL/ELT pipelines for real-time, streaming and batch data exchange.

- Minimum of 3 years working extensively with Spark and Python technologies for big data processing.

- At least 3 years of hands-on experience implementing end-to-end medallion architecture using Databricks or similar cloud tools.

- Proven background in schema design and dimensional data modeling.

- Comprehensive knowledge of data warehouse best practices, development standards, and methodologies using platforms like MS Fabric, Azure Synapse, Redshift, etc.

- Skilled communicator and presenter, with a record of leveraging insights to influence executives and team members.

**Preferred Qualifications**

- Experience with financial planning platforms and related business processes (eg: budgeting, forecasting and long-term planning) is a plus.

- Strong background in working with and analyzing large datasets, particularly in IoT and enterprise domains.

- Preferred: Strong computer science and mathematics foundation.

- Excellent SQL/query writing skills and communication abilities.

- Familiarity with common APIs, such as REST and SOAP, is advantageous.

**Our commitment**

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

~~Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.~~

**Salary**

Salary Range for this position: $137,000.00 - $287,000.00.

The above salary range for this position is relevant to applicants that reside in California and most states. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.

**Our Perks And Benefits**

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Lead Data and Cloud Architect

Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.

Industry: Software Development
Company Size: 201-500 employees

Sigma Computing

**About The Role**

Sigma is transforming how **businesses **run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.

**What You Will Be Doing**

- Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis

- Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes

- Build backend distributed services, new algorithms and modern API to support a cloud application

- Triage product or system issues and debug/track/resolve by analyzing the sources of issues

- Design and implement new software features to support our fast growing user base

- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies

**Qualifications We Need**

- 5+ years industry experience building and maintaining high-quality software

- Experience building and deploying robust and secure web applications in a continuous deployment environment

- Desire to be a great teammate and have fun at work without compromising ownership towards your work

- Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma

- Strong Computer Science fundamentals

**Qualifications We Want (also, skills you’ll learn!)**

- Data driven aptitude and its application to solve distributed system problems

- Data model design, and API development experience

- SQL query optimization and database internals

- Administered cloud service infrastructure (GCP, AWS, Azure)

- Prior experience working at high growth company solving technical problems to enable continued success

**Additional Job Details**

The base salary range for this position is $170k - $240k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

**About Us**

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

**Benefits For Our Full-Time Employees**

- Equity

- Generous health benefits

- Flexible time off policy. Take the time off you need!

- Paid bonding time for all new parents

- Traditional and Roth 401k

- Commuter and FSA benefits

- Lunch Program

- Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow~~.~~

~~Note: We have an in-office work environment in all our offices in SF, NYC, and London.~~

**Our Privacy Practices**

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

**Sigma’s use of AI**

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Senior Software Engineer - Backend

**About The Role**

Sigma is transforming how **businesses **run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users.

**What You Will Be Doing**

- Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis

- Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes

- Build backend distributed services, new algorithms and modern API to support a cloud application

- Triage product or system issues and debug/track/resolve by analyzing the sources of issues

- Design and implement new software features to support our fast growing user base

- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies

**Qualifications We Need**

- 2+ years industry experience building and maintaining high-quality software

- Experience building and deploying robust and secure web applications in a continuous deployment environment

- Desire to be a great teammate and have fun at work without compromising ownership towards your work

- Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma

- Strong Computer Science fundamentals

**Qualifications We Want (also, skills you’ll learn!)**

- Data driven aptitude and its application to solve distributed system problems

- Data model design, and API development experience

- SQL query optimization and database internals

- Administered cloud service infrastructure (GCP, AWS, Azure)

- Prior experience working at high growth company solving technical problems to enable continued success

**Additional Job Details**

The base salary range for this position is $170k - $240k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.

**About Us**

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.

Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.

Come join us!

**Benefits For Our Full-Time Employees**

- Equity

- Generous health benefits

- Flexible time off policy. Take the time off you need!

- Paid bonding time for all new parents

- Traditional and Roth 401k

- Commuter and FSA benefits

- Lunch Program

- Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow~~.~~

~~Note: We have an in-office work environment in all our offices in SF, NYC, and London.~~

**Our Privacy Practices**

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).

**Sigma’s use of AI**

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

For 50 years, Hub Group has been dedicated to serving customers with innovative, premier supply chain solutions tailored to each client’s needs. We understand your business needs are constantly evolving, so we design transportation solutions to scale and evolve with them. Supported by a powerful asset-backed network of 50,000 53’ intermodal containers, nearly 4,000 drivers, 6,000 trailers, and 29 terminals, our transportation solutions are strategically built to drive long-term success. We work with your organization to deliver high-quality service while incessantly refining and improving your supply chain to forge a clearer route ahead. 

Hub Group provides industry-leading solutions for customers that want better control over costs, higher levels of service, and a streamlined approach to their supply chain. Our solutions harness proprietary technology to optimize multimodal networks for customers operating both domestically and across the globe. Through customer-centric strategies and programs, we centralize all communication, management, and accountability for your supply chain – allowing you to focus on other areas of your business. 

Our end-to-end suite of solutions is blended and delivered to customers with a single point of contact, supported by teams that look deeper into supply chains to extract hidden value. We advance sustainability initiatives, provide better visibility and help navigate customers’ businesses toward their unique goals. And on top of that, we remain true to our roots with a culture of service, innovation, and integrity. Because we believe the way you do something is just as important as what you do. 

At Hub Group, we know The Way Ahead.

Industry: Truck Transportation
Company Size: 5,001-10,000 employees

Hub Group

**Job Summary **

We are seeking a highly skilled and strategic Data Solution Architect to join our IT Enterprise Data Warehouse team. This role is responsible for designing and implementing scalable, secure, and high-performing data solutions that bridge business needs with technical execution. Design solutions for provisioning data to our cloud data platform using ingestion, transformation, and semantic layer techniques. Additionally, this position provides technical thought leadership and guidance to ensure that data platforms and pipelines effectively support ODS, analytics, reporting, and AI initiatives across the organization.

**Key Responsibilities **

- Architecture & Design

- Design end-to-end data architecture solutions including operational data stores, data warehouses, and real-time data pipelines.

- Define standards and best practices for data modeling, integration, and governance.

- Evaluate and recommend tools, platforms, and frameworks for data management and analytics.

- Collaboration & Leadership

- Partner with business stakeholders, data engineers, data analysts, and other IT teams to translate business requirements into technical solutions.

- Lead architecture reviews and provide technical guidance to development teams.

- Advocate for data quality, security, and compliance across all data initiatives.

- Implementation & Optimization

- Oversee the implementation of data solutions, ensuring scalability, performance, and reliability.

- Optimize data workflows and storage strategies for cost and performance efficiency.

- Monitor and troubleshoot data systems, ensuring high availability and integrity.

**Required Qualifications **

- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

- 7+ years of experience in data architecture, data engineering, or related roles.

- Strong expertise in cloud platforms (e.g., Azure, AWS, GCP) and modern data stack tools (e.g., Snowflake, Databricks).

- Proficiency in SQL, Python, and data modeling techniques (e.g. Data Vault 2.0)

- Experience with ETL/ELT tools, APIs, and real-time streaming technologies (e.g., dbt, Coalesce, SSIS, Datastage, Kafka, Spark).

- Familiarity with data governance, security, and compliance frameworks

**Preferred Qualifications **

- Certifications in cloud architecture or data engineering (e.g., SnowPro Advanced: Architect).

- Strong communication and stakeholder management skills.

**Why Join Us? **

- Work on cutting-edge data platforms and technologies.

- Collaborate with cross-functional teams to drive data-driven decision-making.

- Be part of a culture that values innovation, continuous learning, and impact.

- This is a full-time, W2 position with Hub Group – We are NOT able to provide sponsorship at this time **

**Salary **: $135,000 - $175,000/year base salary ~~+ bonus eligibility ~~

~~This is an estimated range based on the circumstances at the time of posting, however, may change based on a combination of factors, including but not limited to skills, experience, education, market factors, geographical location, budget, and demand ~~

**Benefits **

We offer a comprehensive benefits plan including:

- Medical

- Dental

- Vision

- Flexible Spending Account (FSA)

- Employee Assistance Program (EAP)

- Life & AD&D Insurance

- Disability

- Paid Time Off

- Paid Holidays

**BEWARE OF FRAUD! **

Hub Group has become aware of online recruiting related scams in which individuals who are not affiliated with or authorized by Hub Group are using Hub Group’s name in fraudulent emails, job postings, or social media messages. In light of these scams, please bear the following in mind

- Hub Group will never solicit money or credit card information in connection with a Hub Group job application.

- Hub Group does not communicate with candidates via online chatrooms such as Signal or Discord using email accounts such as Gmail or Hotmail.

- Hub Group job postings are posted on our career site: https://www.hubgroup.com/careers

**About Us **

Hub Group is the premier, customer-centric supply chain company offering comprehensive transportation and logistics management solutions. Keeping our customers’ needs in focus, Hub Group designs, continually optimizes and applies industry-leading technology to our customers’ supply chains for better service, greater efficiency and total visibility. As an award-winning, publicly traded company (NASDAQ: HUBG) with $5 billion in revenue, our 6,000 employees and drivers across the globe are always in pursuit of "The Way Ahead" - a commitment to service, integrity and innovation. We believe the way you do something is just as important as what you do. For more information, visit www.hubgroup.com .

Senior Data Solutions Architect

Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

We're hiring on behalf of a Haystack partner!

The Role

• Ensure the accuracy, security, and effective use of moderately complex data across the organization.

• Support the development and implementation of data management and governance policies and frameworks.

• Handle data quality standards, monitor metrics, and implement corrective processes to ensure data reliability.

• Partner with technology teams and business units to improve decision-making and operational efficiency.

• Assist in the design of data architecture and cultivate data literacy within the organization.

• Manage the data lifecycle from initiation to decommissioning, ensuring compliance with policies and regulations.

What You'll Need

• Minimum of 2 years of relevant work experience in data management or governance.

• Familiarity with governance frameworks and data protection principles.

• Ability to analyze datasets, identify anomalies, and translate findings into actionable insights.

• Experience partnering with engineering, security, and privacy teams.

• Experience with a data catalog.

• Strong SQL proficiency.

What's On Offer

• Competitive salary.

• Opportunity to work with a global leader in food and agricultural solutions.

• Chance to shape data governance strategies and impact business decisions.

• Professional development and training programs.

Apply via Haystack today!

Data Analyst

EY exists to build a better working world, helping create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Find out more about the EY global network http://ey.com/en_gl/legal-statement

Industry: Professional Services
Company Size: 10,001+ employees

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

**AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector**

EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

**The opportunity**

You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

**Your Key Responsibilities**

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

**Skills And Attributes For Success**

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

- Technical Skills Applications Integration

- Cloud Computing and Cloud Computing Architecture

- Data Architecture Design and Modelling

- Data Integration and Data Quality

- AI/Agentic AI driven data operations

- Experience delivering business use cases in Transmission / Distribution / Generation / Customer.

- Strong relationship management and business development skills.

- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.

- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.

- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.

- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.

- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.

- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.

- Establish data governance policies and practices, including data security, quality, and lifecycle management.

- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.

**To qualify for the role, you must have**

- A Bachelor’s degree required in STEM

- 12+ years professional consulting experience in industry or in technology consulting.

- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.

- 5+ years’ experience with native cloud products and services such as Azure or GCP.

- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.

- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.

- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.

- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.

- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.

- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.

- Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.

- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.

- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.

- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).

- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.

- Experience leading Infrastructure and Security engineers and architects in overall platform build.

- Excellent leadership, communication, and project management skills.

- Data Security and Database Management

- Enterprise Data Management and Metadata Management

- Ontology Design and Systems Design

**Ideally, you’ll also have**

- Master’s degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.

- Experience working at big 4 or a major utility.

- Experience with cloud data platforms like Databricks.

- Experience in leading and influencing teams, with a focus on mentorship and professional development.

- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.

- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

- Building and Managing Relationships

- Client Trust and Value and Commercial Astuteness

- Communicating With Impact and Digital Fluency

**What We Look For**

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

**What We Offer You**

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

**Are you ready to shape your future with confidence? Apply today.**

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

**EY | Building a better working world**

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

**AI & Data - Data Architecture – Senior Manager – Power & Utilities Sector**

EY is seeking a motivated professional with solid experience in the automotive and aerospace sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a controls systems / electrical engineering background and having delivered business use cases in Supply Chain / Manufacturing / Customer Growth. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the mobility and manufacturing sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.

**The opportunity**

You will help our clients enable better business outcomes while working in the rapidly growing automotive and aerospace sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.

As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.

**Your Key Responsibilities**

In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:

As Data Architect – Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients’ problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.

**Skills And Attributes For Success**

To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:

- Technical Skills Applications Integration

- Cloud Computing and Cloud Computing Architecture

- Data Architecture Design and Modelling with experience in Unified Namespace

- Data Integration and Data Quality

- AI/Agentic AI driven data operations with experience in MCP

- Physical AI and robotics simulation and/or implementation

- Experience delivering business use cases in Supply Chain / Manufacturing / Customer Growth.

- Strong relationship management and business development skills.

- Become a trusted advisor to your clients’ senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.

- Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.

- Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients’ objectives.

- Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.

- Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.

- Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.

- Establish data governance policies and practices, including data security, quality, and lifecycle management.

- Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.

**To qualify for the role, you must have**

- A Bachelor’s degree required in STEM

- 12+ years professional consulting experience in industry or in technology consulting.

- 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.

- 5+ years’ experience with native cloud products and services such as Azure or GCP.

- 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.

- In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.

- Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.

- Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.

- Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.

- Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.

- Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.

- Ability to design data solutions that can scale horizontally and vertically while optimizing performance.

- Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.

- Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).

- Practical understanding of data encryption, access control, and security best practices to protect sensitive data.

- Experience leading Infrastructure and Security engineers and architects in overall platform build.

- Excellent leadership, communication, and project management skills.

- Data Security and Database Management

- Enterprise Data Management and Metadata Management

- Ontology Design and Systems Design

**Ideally, you’ll also have**

- Master’s degree in Electrical / Mechanical Systems Engineering, Computer science, Robotics, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.

- Experience working at big 4 or a major manufacturer.

- Experience with cloud data platforms like Databricks.

- Experience in leading and influencing teams, with a focus on mentorship and professional development.

- A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.

- The ability to foster an inclusive environment that values diverse perspectives and empowers team members.

- Building and Managing Relationships

- Client Trust and Value and Commercial Astuteness

- Communicating With Impact and Digital Fluency

**What We Look For**

We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.

FY26NATAID

**What We Offer You**

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.

- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

**Are you ready to shape your future with confidence? Apply today.**

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

**EY | Building a better working world**

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

Data Architect - Aerospace, Defense & Mobility - Senior Manager- Consulting - Location OPEN

Starr Insurance is a leading insurance and investment organization, providing commercial property and casualty insurance, including travel and accident coverage, to almost every imaginable business and industry in virtually every part of the world.

Cornelius Vander Starr established his first insurance company in Shanghai, China in 1919. Today, we are one of the world’s fastest growing insurance organizations, capable of writing in 128 countries on 6 continents.

Starr has the global knowledge, vision and relationships to help your company succeed, anywhere you do business.

Industry: Insurance
Company Size: 1,001-5,000 employees

Starr Insurance

**Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.**

**Job Description: Senior Director, Data Architecture**

**Location: ** New York, NY

**Reports to: ** Head of Data Engineering & Chief Data Officer

**Department: ** Starr Technology Group

**Overview:**

The Senior Director, Data Architecture is a pivotal leadership role responsible for championing, building, and scaling a world-class Data Architecture practice in support of Starr’s global enterprise data vision. Reporting to the Chief Data Officer, the candidate will define and deliver modern, resilient, and secure data architectures that underpin all insurance systems, capabilities, and platforms. Leveraging deep domain experience in insurance (P&C and Specialty lines), data management, modeling, and analytics, the Senior Director will translate business and technical requirements into scalable data solutions that enable the organization’s innovation, regulatory compliance, and growth objectives.

Central to this role is the development and stewardship of data architectural best practices, reference architectures, and standardized frameworks that drive consistency, quality, and governance across all data assets—spanning domains from Customer, Policy, Claims, and Financials to the augmentation of external data. The Senior Director will work collaboratively with engineering, product, analytics, and delivery teams to translate requirements into solutions, providing architectural oversight and hands-on technical delivery for strategic initiatives, and maintaining a current/future state roadmap for all data capabilities.

This leader will drive adoption of modern data technologies, advanced data modeling, cloud architectures, and data governance principles, while building the discipline and maturity of Starr’s Data Architecture organization. This position is critical for supporting the scalable growth of business intelligence, analytics, and cross-enterprise data operations across the insurance portfolio.

**Responsibilities:**

**Data Architecture Vision, Strategy & Governance**

- Define and execute the data architecture vision and strategic roadmap in close alignment with the CDO and enterprise data strategy.

- Architect scalable, resilient, and secure solutions for enterprise-wide data integration, warehousing, analytics, operational systems, and augmentation with external data sources.

- Develop and champion standardized, insurance-centric data modeling frameworks, data architecture best practices, and reference architectures to ensure quality, consistency, and performance.

**Architectural Oversight & Solution Delivery**

- Drive architectural oversight for design, build, and operate phases of critical enterprise data initiatives—including new insurance products, data platforms, modernization, digital transformation, and regulatory projects.

- Translate functional and technical requirements into robust data architectures; guide engineering, analytics, product, and delivery teams throughout the data solution lifecycle.

- Perform hands-on technical delivery and problem solving for complex, strategic initiatives, ensuring successful execution against business, compliance, and technical requirements.

- Formalize current- and future-state architectural roadmaps that support unified, global, and consistent views of Customer, Policy, Claims, Financials, and other key insurance data domains.

**Insurance Data Domain Leadership**

- Develop and maintain standardized insurance data models, schemas, and pipelines; ensure applicability across the business for operational, analytical, and regulatory purposes.

- Integrate core insurance application data (e.g., Policy Administration, Claims, Reinsurance, Financials) with enterprise data platform and external third-party sources for holistic insights.

- Lead data architecture initiatives supporting evolving requirements of actuarial, underwriting, claims, compliance, finance, and product innovation teams.

**Adoption of Modern Data Technologies & Best Practices**

- Evaluate, select, and drive adoption of cutting-edge data technologies and architectural approaches (cloud-native, distributed, streaming, data lakehouse, real-time analytics).

- Accelerate enablement of cloud-based, medallion architecture (bronze/silver/gold), data pipeline automation, metadata management, and advanced analytics infrastructure.

- Promote strong data governance integration—including quality, cataloging, lineage, privacy, security, and compliance policies—across all data architecture outputs.

**Data Organization Leadership & Team Building**

- Build and mentor a high-performing Data Architecture function, including data architects, modelers, solution designers, and technical delivery leads.

- Foster cross-team collaboration with engineering, operations, analytics, and governance teams, ensuring seamless delivery of robust data solutions across the enterprise.

**Stakeholder Engagement & Change Leadership**

- Serve as chief architectural advisor and liaison to internal and external stakeholders - educating teams on data architecture capabilities and value.

- Ensure business requirements are accurately captured and reflected in scalable technical designs; drive business adoption and platform utilization.

**Continuous Improvement, Innovation, & Risk Management**

- Champion continuous improvement in architectural processes, tooling, methodology, and capability development.

- Lead architectural risk assessment, mitigation, and proactive controls to ensure technical, business, and compliance objectives are met.

- Track and report architectural health and progress using enterprise KPIs, quality metrics, and roadmap milestones.

**Technical Skills & Requirements:**

- Advanced hands-on expertise in designing and modeling enterprise data architectures (cloud-native, hybrid, lakehouse, distributed, real-time).

- Deep experience with data management, advanced data modeling (conceptual, logical, physical), insurance data schemas, and master data/reference data frameworks.

- Proven delivery across modern data technology stacks—Databricks, Snowflake, Spark, AWS/Azure/GCP data services, streaming/data integration platforms, metadata/cataloging tools.

- Expertise in Medallion architecture, batch/streaming pipeline design, external data augmentation.

- In-depth understanding of metadata management, data governance, lineage, cataloging, residency and security/privacy frameworks.

- Familiarity with insurance business models, core platforms (Guidewire, Duck Creek, Majesco), and regulatory/compliance-driven architecture requirements.

- Ability to assess legacy and modern architectures, and transition organizations toward future state aligned with business goals.

- Experience driving transformation of architecture standards and best practices across globally distributed teams.

**Required Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, or related field; advanced degree highly preferred.

- 12+ years’ experience in data architecture, data modeling, and enterprise data management with 5+ years in senior leadership roles.

- Significant insurance industry experience, ideally within P&C and Specialty, with deep understanding of industry data requirements.

- Proven track record architecting, delivering, and governing complex data solutions for operational, analytical, and regulatory purposes in global organizations.

- Expertise building and formalizing insurance data models, frameworks, and best practices.

- Experience leading architectural teams, driving transformation and adoption of modern data architectures and governance.

- Excellent technical leadership, stakeholder management, communication, and problem-solving skills.

- Professional certifications in data architecture, cloud platforms (AWS, Azure, GCP), and insurance data management are highly desirable.

An estimated salary range for this role is $200,000-$275,000

Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

Senior Director, Data Architecture

SEI (NASDAQ:SEIC) delivers technology and investment solutions that connect the financial services industry. With capabilities across investment processing, operations, and asset management, SEI works with corporations, financial institutions and professionals, and ultra-high-net-worth families to 
help drive growth, make confident decisions, and protect futures. As of June 30, 2024, SEI manages, advises, or administers approximately $1.5 trillion in assets. For more information, visit seic.com.

Additional disclosures: https://seic.com/social

Industry: Financial Services
Company Size: 1,001-5,000 employees

SEI's Investment Management Unit (IMU) is looking for an Investment Solutions Technology & Data Analyst to join our Technology Team. This is a highly visible, project driven role with a direct impact on the technology, data architecture, and analytical solutions that support SEI’s investment management and market units.

The successful candidate will partner closely with investment, technology, and operations teams to define business needs, lead technology focused initiatives, and design and deliver data solutions that improve scalability, efficiency, and insight across the investment management platform.

This role also plays a key part in validating new technology solutions by coordinating and supporting the testing of new system releases, integrations, and enhancements to ensure changes meet business requirements and are ready for production use.

**What You Will Do**

-  Partner with IMU business teams to gather requirements, perform business analysis, and translate investment and data needs into technical solutions

-  Lead and contribute to technology and data projects, including system integrations, platform enhancements, vendor onboarding, and process modernization initiatives

-  Design and help implement data architectures, workflows, and controls to support scalable investment data acquisition, transformation, and consumption

-  Work with internal technology teams and third party vendors to integrate new data sources, systems, and tools into the IMU data ecosystem

-  Coordinate and support testing of new system releases, integrations, and enhancements, including validating new build components, ensuring alignment with business requirements, and supporting user acceptance and release readiness activities

-  Support project management activities, including defining scope, timelines, deliverables, dependencies, and risk mitigation plans

-  Develop and enhance data pipelines, controls, and automated processes to improve data quality, transparency, and efficiency

-  Troubleshoot complex data and integration issues by coordinating across analysts, engineers, portfolio teams, vendors, and other stakeholders

-  Contribute to the creation of process documentation, technical specifications, and operating models for new and existing solutions

-  Support strategic initiatives and new product launches by providing data, technology, and analytical expertise

-  Identify opportunities to standardize, automate, and modernize investment data and technology processes

**What We Need From You**

-  Bachelor’s degree in Business, Finance, Economics, Computer Science, Engineering, Mathematics, MIS, or a related field

-  Minimum of 4+ years of experience in financial services, investment management, or a technology enabled data role

-  Strong experience working on technology or data driven projects, including system integrations or platform enhancements

-  Experience supporting or coordinating testing efforts for technology or data solutions, including system integrations, enhancements, or new platform releases

-  Experience with project coordination or project management methodologies

-  Demonstrated ability to perform business analysis and translate requirements into technical designs or solution approaches

-  Working knowledge of relational databases and data tools (e.g., SQL, Python, Power BI, or similar technologies)

-  Familiarity with investment data, products, and workflows (traditional and/or alternative assets preferred)

-  Exposure to investment systems and vendors such as Bloomberg, FactSet, BlackRock Solutions, or similar platforms is a plus

-  CFA, CIPM, or progress toward designation is a plus (reimbursement provided)

**What We Would Like From You**

-  Strong analytical and critical thinking skills with the ability to solve ambiguous problems

-  Excellent written and verbal communication skills; able to engage effectively with both technical and non technical stakeholders

-  Comfortable working between business teams and technology teams as a translator and solution partner

-  Process oriented mindset with the ability to design and improve workflows where none exist

-  Ability to manage multiple projects or workstreams concurrently and meet deadlines

-  High attention to detail and commitment to data accuracy, quality, and controls

-  Self motivated, intellectually curious, and eager to learn new technologies and investment concepts

-  Ability to operate independently while collaborating effectively in a team based environment

This team follows a hybrid schedule and works 3 days a week in the office.

**SEI’s Competitive Advantage**

To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, a strong retirement plan, tuition reimbursement, a hybrid working environment for most roles, support for working parents and flexible Paid Time Off (PTO) so you can relax, recharge and be there for the people you care about.

Benefits include healthcare (medical, dental, vision, prescription, wellness, EAP, FSA), life and disability insurance (premiums paid for base coverage), 401(k) match, education assistance, commuter benefits, up to 11 paid holidays/year, 21 days PTO/year pro-rated for new hires which increases over time, paid parental leave, back-up childcare arrangements, paid volunteer days, a discounted stock purchase plan, investment options, access to thriving employee networks and more.

We are a technology and asset management company delivering on our promise of building brave futures (SM)—for our clients, our communities, and ourselves. Come build your brave future at SEI.

**SEI is an Equal Opportunity Employer and so much more…**

After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.

SEI is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.

**AI Acceptable Use In The Application And Interview Process**

SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.

Investment Solutions Technology & Data Analyst

We're hiring on behalf of a Haystack partner!

The Role

• Design, build, and maintain complex data systems that facilitate data analysis and reporting.

• Ensure large datasets are efficiently processed and accessible for decision-making with minimal supervision.

• Develop and maintain streaming and batch data pipelines for seamless data ingestion, transformation, and storage.

• Build prototypes to test new concepts and implement data engineering frameworks to enhance processing capabilities.

• Collaborate with cross-functional data and analytics teams to gather requirements and ensure solutions meet partner needs.

• Review and optimize existing data systems and architectures for performance and scalability.

What You'll Need

• Minimum of 4 years of relevant work experience.

• Experience developing data systems on major cloud platforms (AWS, GCP, Azure).

• Hands-on experience building modern data architectures (data lakes, lakehouses) with ingestion, governance, and modeling capabilities.

• Proficiency in data ingestion tools and storage formats (e.g., Kafka, AWS Glue, Iceberg, Parquet).

• Experience developing data pipelines with streaming architectures and tools (e.g., Kafka, Flink).

• Advanced programming skills in Python, Java, Scala, or similar, with expert-level SQL proficiency.

What's On Offer

• Competitive annual salary.

• Opportunities to work with advanced engineering and cloud-based technologies.

• Engage with a global organization focused on sustainable practices.

• Contribute to solutions that impact billions of lives daily.

Apply via Haystack today!

Data Engineer

At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions.

**Job Description**

We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making.

The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments.

What You’ll Do

- Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives

- Build and automate ingestion frameworks for structured and semi-structured healthcare data sources

- Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams

- Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns

- Automate orchestration, monitoring, and operational processes across the data platform

- Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions

- Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management

- Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support

- Contribute to data governance, metadata management, and data quality initiatives across the platform

- Mentor junior engineers and contribute to a collaborative, high-performing engineering culture

**Qualifications**

-

Strong expertise in Google Cloud Platform (GCP), including:

BigQuery

Cloud Storage

Cloud Composer or orchestration tooling

Dataflow or modern ingestion frameworks

- Experience designing and building scalable data ingestion and pipeline automation solutions

- Strong understanding of semantic layer development and dimensional modeling concepts

- Advanced SQL and Python development skills

- Experience with ELT/ETL pipeline design, orchestration, and optimization

- Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices

- Strong understanding of data quality, observability, and operational reliability principles

Preferred Experience

- Experience working within healthcare data ecosystems and regulated enterprise environments

- Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards

- Experience supporting enterprise BI and analytics initiatives

- Exposure to dbt, Looker, or semantic modeling frameworks is a plus

Required Experience

- 5+ years of experience in data engineering or cloud data platform development

- Proven experience delivering enterprise-scale cloud data solutions within GCP environments

- Experience contributing to large-scale data modernization or analytics transformation initiatives

- Consulting or client-facing delivery experience strongly preferred

What Makes You Successful

- You are passionate about building scalable, maintainable, and high-performing cloud-native data solutions

- You thrive in collaborative, fast-paced delivery environments

- You balance strong technical execution with effective communication and stakeholder collaboration

- You bring a mindset of ownership, curiosity, and continuous improvement to your work

- You enjoy solving complex data challenges and driving measurable business impact through technology

**Additional Information**

The starting pay range for this role is $115k - $125k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

Senior Data Engineer

Axiom is where high-caliber legal talent meets full-service law firm work. We invented the alternative legal services industry 24 years ago and now serve more than 1,500 legal departments globally, including 68% of the Fortune 100, with 95% client satisfaction. Axiom gives small, mid-market, and enterprise clients a single trusted provider who can deliver a full spectrum of legal solutions and services across more than a dozen practice areas and all major industries at rates up to 50% less than national law firms. To learn how Axiom can help your legal departments do more for less, visit axiomlaw.com.

Industry: Legal Services
Company Size: 1,001-5,000 employees

Axiom

~~**Data Architect 1 - US Remote** ~~**About Axiom:**

As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers — deployed when, where, and how clients need it, for up to 50% less than national law firms. Axiom's network of 14,000+ legal professionals includes 4,000+ lawyers with Fortune 500 experience, delivering AI-enabled legal services across more than 12 practice areas. Trusted by 75% of the Fortune 100 and thousands of mid-market leaders, Axiom ranks #1 among Alternative Legal Service Providers in 8 of 9 performance categories — including talent quality, breadth, productivity, and client experience — according to a top 5 global consulting firm. Across more than 3,000 engagements annually in 6 regions and 4 continents, 93% of clients rate Axiom lawyers as good as or better than top law firm attorneys, with 96% client satisfaction and measurable cost savings that reduce outside counsel spend without sacrificing quality. Stop overpaying for law firm work. **Start with Axiom.**

**About the role:**

The Data Architect is responsible for the design, governance, and long-term integrity of Axiom's enterprise data model. The incumbent is accountable for establishing and maintaining a coherent unified data model drawn from Axiom's portfolio of systems, implementing data governance and quality standards, and ensuring that the organization's data assets are reliable, well-documented, accessible to authorized stakeholders, and enabling of Axiom's AI strategy. The Data Architect directly manages the Data Engineer and operates in close coordination with the VP, Enterprise Applications on technology stack decisions and roadmap alignment.

**Core Responsibilities:**

- Design, document, and maintain Axiom's enterprise data model, ensuring coherence and consistency across disparate systems and platforms.

- Establish and enforce data governance policies, data quality standards, and associated assurance mechanisms to ensure the reliability and integrity of organizational data assets.

- In coordination with the VP, Enterprise Applications, define and maintain the data architecture roadmap, including effort scoping, dependency identification, and alignment with enterprise technology strategy.

- Directly manage the Data Engineer; provide technical mentorship, set priorities, and support professional development.

- Serve as the primary data architecture liaison to the Product, Operations, and Data Science functions.

- In coordination with the VP, Enterprise Applications, evaluate and determine the technology stack for AI solutions and other data initiatives.

- Collaborate with the VP, Enterprise Applications and Integrations Lead to reconcile roadmap priorities and ensure integration-produced data meets enterprise data model standards.

- Participate collaboratively in the design and implementation of Model Context Protocol integrations, enabling AI tooling to access Axiom's information assets.

- Administer and govern the Databricks environment in coordination with the Data Engineer.

- Establish and maintain data documentation standards: entity definitions, lineage, ownership, and access policies.

**About you:**

- 7+ years of progressive experience in data architecture, data engineering, or a related technical discipline.

- Demonstrated experience designing and implementing enterprise data models in complex, multi-system environments.

- Substantive knowledge of data governance frameworks and data quality methodologies, including practical production implementation.

- Strong SQL DDL and DML skills.

- Fluency in at least one general-purpose programming language; Python preferred.

- Familiarity with enterprise application platforms relevant to Axiom's environment: Databricks, Salesforce, Workday, or comparable systems.

- Demonstrated experience leading technical personnel and developing engineering talent.

- Exceptional written and oral communication skills, including the ability to convey complex data concepts to non-technical stakeholders.

- Experience with Model Context Protocol (MCP) or analogous AI data access patterns, a plus.

- Experience operating within matrixed organizational structures requiring negotiation of priorities across teams.

- **Our People Reflect Our Values! We are: **

- Innovative: We generate new, creative, and disruptive ideas to change the status quo in their fields

- Performance Oriented: We possess an unbelievable work ethic and unwavering commitment to quality

- Cross-functionally collaborative: We bring others together, creating strong relationships across lines of difference

- Data & Fact Based: We seek to understand and learn from information and perspectives everywhere

- Customer First: We aim to delight our clients and legal talent at every opportunity

**Axiom's total rewards philosophy is to be transparent and equitable with all job candidates. The annual base salary range for this role located in New York, Washington D.C., Philadelphia, Raleigh, and Boston is $156,560 + a 20% annual bonus depending on experience. You can also participate in our benefits programs that include healthcare, life and disability coverage, 401K with company match, paid sick and personal time off, paid parental leave and more. Please note that the final compensation is determined by several considerations, including the quality of your experience and expertise, your ability to immediately contribute to Axiom, your potential to move up to the next level, the market you are located in, and other business considerations.**

**Accommodation for Individuals with Disabilities: **Upon request and consistent with applicable laws, Axiom will attempt to provide reasonable accommodations for individuals with disabilities who require an accommodation to participate in the application process. To request an accommodation to complete the application form, please contact us at benefits@axiomlaw.com and include "Applicant Accommodation" in the subject line.

Data Architect (Remote)

Improvado automates marketing reporting, enables informed budget decisions, and increases the ROI of marketing efforts. We help marketing teams streamline inefficient spreadsheet analytics and achieve deep insights into revenue generation. 

Improvado connects data across 500+ marketing and sales platforms to build a holistic picture of marketing performance. As an end-to-end analytics platform, Improvado handles everything, from data extraction and normalization to visualizing data in insightful dashboards.

With Improvado, it’s easy to track the performance of your cross-channel efforts, calculate complex metrics such as CLV or CAC, attribute revenue to touchpoints, and recreate customer journeys.

Want to learn more? Schedule a demo at www.improvado.io.

Industry: Software Development
Company Size: 51-200 employees

Improvado

**Improvado ** is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance.

We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

**About The Role**

The Senior Marketing Analyst's primary responsibility is to help clients maximize value from their marketing data. You'll own client delivery end-to-end for your assigned accounts — from data modeling through final reporting. You'll design and maintain dashboards across BI platforms, ensure data quality, and deliver clear, actionable reporting. This role also involves managing data transformations in dbt and working with complex, multi-source data architectures. You'll leverage AI tools (e.g. Codex, Claude) to accelerate your workflows.

We are looking for someone who is reliable, responsible, quality-minded, keeps commitments, takes ownership of their work, and can confidently present results to clients.

**Responsibilities**

- Build and maintain dashboards and reports in Looker, Power BI, and Tableau — depending on client setup

- Write, optimize, and troubleshoot SQL queries for reporting, analysis, and investigations

- Manage and enhance data transformations with dbt where necessary

- Support clients directly — understand their requirements, translate them into data solutions, and deliver clear insights

- Conduct QA/UAT to ensure data accuracy, consistency, and trustworthiness

- Use Git for version control and collaboration

- Proactively identify opportunities, trends, or risks in marketing data and communicate findings clearly

- Leverage AI tools to be 10x more productive than the average analyst

**Must Have Qualifications**

- 3+ years of experience as Data Analyst with marketing data

- Expert-level proficiency in at least one BI platform (Looker, Power BI, or Tableau), with the ability to deliver projects across all

- Proficiency in SQL

- Proficiency in data modelling (dbt preferred)

- Knowledge of Google Analytics (advanced level, for business understanding)

- Experience with Git

- English C1 level with excellent written and verbal communication (client-facing role)

- Strong analytical skills, proactive problem-solving, and high attention to detail

- Comfortable with ambiguity and able to drive clarity with clients and internal teams

- Hands-on experience with QA/UAT processes

- Proficiency with AI tools and ability to learn new ways of working is essential

**Nice to Have**

- Knowledge of Google Analytics Data Streams

- Familiarity with marketing platforms data (Google Ads, Facebook Ads, etc.)

- Understanding of Marketing Mix Modeling (MMM) concepts

- Prior experience in marketing agency

**What We Offer**

- Remote-first environment

- Strong product/market fit: marketing data product for US-based enterprises

- 20 working days of PTO per year

- US holidays and additional days off

- Professional development reimbursement

Powered by JazzHR

7MMiNe5vLz

Middle+ Marketing Analyst

Acosta Group fuses storied expertise, unmatched connectivity and advanced insight to accelerate brand growth – everywhere you sell. Our collective of the most trusted retail, marketing and foodservice agencies is reimagining how people connect with brands at every point in the consumer journey.
 
Comprised of Acosta, ActionLink, CORE Foodservice, Mosaic, and Premium Retail Services, Acosta Group understands and anticipates evolving consumer needs, fueling accelerated performance to connect tomorrow's commerce today. The collective delivers end-to-end solutions, including headquarter sales services, omnichannel retail solutions, assisted sales and training, integrated marketing, foodservice sales enablement and culinary solutions, and the most advanced data and insights.

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Le groupe Acosta Group rassemble une expertise reconnue, une connectivité inégalée et des connaissances fines pour accélérer la croissance des marques - partout où vous êtes commercialisé. Notre collectif des agences de vente au détail, de marketing et de restauration les plus fiables réinvente la façon dont les gens se connectent aux marques à chaque étape du parcours du consommateur.
 
Composé d'Acosta, de CORE Foodservice, de Mosaic, de Premium Retail Services et d'ActionLink, le groupe Acosta Group comprend et anticipe les besoins en constante évolution des consommateurs, stimulant ainsi les performances accélérées pour connecter le commerce de demain dès aujourd'hui. Le collectif offre des solutions holistiques, y compris des services de vente externalisée, des solutions omnicanales de vente au détail, des ventes assistées et de la formation, du marketing intégré, des solutions de vente pour la restauration et la cuisine, ainsi que les données et les connaissances les plus avancées, et l’expertise nécessaire pour extraire la valeur de tous ces outils.

Industry: Business Consulting and Services
Company Size: 10,001+ employees

Acosta Group

**Description**

Position Summary

The Retail Data & BI Analyst supports the development, architecture, and delivery of data analytics and reporting tools that support operations across a national retail program operating in more than 1,300 locations.

This role will play a key part in the organization's migration to Power BI, helping design scalable data models, build automated reporting pipelines, and develop dashboards that support leadership decision-making.

The position requires a strong analytical mindset, attention to detail, and the ability to transform complex operational data into clear and actionable insights for leadership teams.

This role sits at the intersection of data architecture, analytics, and business strategy, supporting initiatives related to compliance, performance analytics, fraud detection, and operational reporting.

**Responsibilities**

Key Responsibilities

**Data Architecture & Reporting Infrastructure**

- Assist in the development and maintenance of the organization's Power BI reporting environment

- Build and maintain Power BI datasets, semantic models, and dashboards

- Design scalable reporting structures that support leadership visibility across stores, territories, and regions

- Help migrate existing reporting from legacy systems into Power BI

- Ensure consistent data definitions and KPI calculations across dashboards

**Data Integration & Data Quality**

- Extract, clean, and transform data from multiple systems (POS systems, operational platforms, reporting feeds)

- Develop repeatable data validation and QA processes

- Assist in building structured datasets to support business reporting

- Identify and resolve inconsistencies across reporting sources

**Analytics & Business Insights**

- Analyze operational performance across retail locations, including sales performance, compliance metrics, staffing coverage, and execution metrics

- Identify trends, anomalies, and performance opportunities within large datasets

- Support leadership requests for both recurring and ad-hoc analysis

- Assist in the development of models used to estimate sales potential, operational opportunity, and program performance

**Process Automation**

- Automate recurring reporting processes using Power BI, Excel, and SQL

- Improve efficiency by reducing manual data manipulation and reporting

- Develop repeatable templates and analytical frameworks used by leadership

**Cross-Functional Collaboration**

- Work closely with leadership, operations teams, and analysts to understand reporting needs

- Translate business questions into structured data analysis

- Communicate findings clearly through dashboards, reports, and written summaries

**Qualifications**

**Minimum Qualifications**

Education Bachelor’s degree in:

- Data Analytics

- Business Analytics

- Information Systems

- Statistics

- Or related analytical field

Equivalent experience may be considered.

Experience 1–3 years of experience in:

- Data analysis

- Business intelligence

- Reporting or analytics roles

**Technical Skills**

Required:

- Advanced Microsoft Excel

- Experience working with large datasets

- Data cleaning and transformation

- Strong analytical and problem-solving skills

- SQL

**Strongly Preferred:**

- Power BI (dashboard development, data modeling)

- Experience working with relational datasets

- Experience supporting operational or retail analytics

**Nice to Have:**

- Exposure to Power BI data modeling

- Understanding of data architecture concepts

- Experience with automation or reporting pipelines

**Key Competencies**

**Analytical Thinking**

Ability to analyze large datasets, identify trends, and translate findings into business insights.

**Data Integrity**

Strong attention to detail and commitment to maintaining accurate, reliable data.

**Problem Solving**

Ability to identify root causes of data discrepancies and develop scalable solutions.

**Communication**

Ability to clearly communicate complex data insights to non-technical stakeholders.

**Ownership**

Self-starter mindset capable of managing projects independently while collaborating with leadership.

**What Success Looks Like In This Role**

Within the first 6–12 months this role will:

- Help complete the organization's migration to Power BI

- Build standardized dashboards used by leadership across the program

- Improve data quality and reporting reliability

- Automate several recurring reporting processes currently performed manually

- Provide actionable insights that support operational performance and compliance initiatives

**About Us**

Premium Retail Services is a part of Acosta Group – a collective of the industry’s most trusted retail, marketing and foodservice agencies reimagining the way people connect with brands at every point in their shopping journey.

Since 1985, Premium has been a top provider of sales and merchandising services, reshaping retail through innovation and excellence for hundreds of renowned brands across retail categories.

With 12,000+ employees across the U.S. and Canada, we are a people-first company, and we strive to ensure our team members enjoy their jobs, feel valued, and emulate our core beliefs – that’s why we frequently promote from within. We encourage our employees to innovate and expand new horizons, making internal development our cornerstone. Find your place at Premium – whether it’s merchandising, sales or brand advocacy, there's a spot for you on our team.

Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include "Applicant Accommodation" in the subject of your email to expedite the request.

Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.

The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)

By applying, you agree to our Privacy Policy and Terms and Conditions of Use.

**\#DiscoverYourPath**

Acosta, and its subsidiaries, is an Equal Opportunity Employer

**Job Category: ** Administration

**Position Type: ** Full time

**Business Unit: ** Sales

**Salary Range: ** $65,000.00 - $75,000.00

**Company: ** Premium Retail Services, LLC

**Req ID: ** 21830

Precision Technologies Corp. (PTC) is an NJ headquartered boutique professional services firm mapping the right IT talent for our customers. We are Women and Minority owned and operated company.  
Our technological capabilities are in the areas of Agile Transformation, Business Analysis, Cloud Services (AWS/Azure), Data Management, Enterprise Application Development, Devops, RPA Automation, Pega, Salesforce and UI/UX. 
We serve our clients from diverse industries with domain-specific expertise in IT, Health Care, BFSI, Telecom, E-commerce, Retail, Manufacturing, Hi-Tech, Oil & Gas, Utilities & others. Our clients present across the United States.
With rich experience & right talent pool, we are geared up to address the GAP in IT talents' DEMAND-SUPPLY through an Innovative, Best-In-Class recruiting engine, backed by a dedicated Client-Centric service focus.
Precision Technologies delivers the service to support its customer journey towards greater performance by partnering with them for a long haul. 
•         Capability to implement, manage and support the hiring plans of the customers with flexible pricing.
•         Flexible staffing model for rapid ramp up or ramp down.
•         A decentralized delivery model utilizing cost-effective, time-bound and scalable solutions.
•         T&M Resource Engagement for cost-effective delivery.
•         SOW Resource Engagement for risk-free delivery.
•         Best-In-Class Staffing Services for niche roles.
•         Comprehensive Background Checks.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Precision Technologies

**Job Title:a ** **Data Architect (Microsoft Fabric) **

**Experience: ** **12+ Years **

**Location: Remote **

**Employment Type: ** **Full-time **

**Job Description: **

We are seeking a highly skilled **Data Architect with Microsoft Fabric experience ** to join our growing data team. The ideal candidate will have extensive experience in data architecture, data engineering, and modern cloud-based data platforms, with a focus on designing scalable and efficient data solutions.

**Key Responsibilities: **

- Design, develop, and implement **data architecture solutions using Microsoft Fabric **

- Build and optimize **data pipelines, data lakes, and data warehouses **

- Collaborate with business stakeholders to understand data requirements and translate them into scalable solutions

- Define and enforce **data modeling standards, governance, and best practices **

- Work closely with data engineers, analysts, and BI teams to enable seamless data access and reporting

- Ensure data quality, integrity, security, and compliance across systems

- Optimize performance and scalability of data platforms

- Support migration of legacy systems to modern data platforms (Fabric / Azure ecosystem)

**Required Skills & Qualifications: **

- 12+ years of experience in **Data Architecture / Data Engineering **

- Hands-on experience with **Microsoft Fabric (mandatory) **

- Strong expertise in:

- Azure Data Services (Data Factory, Synapse, Data Lake)

- Data Modeling (Dimensional & Relational)

- ETL/ELT pipelines

- Proficiency in **SQL, Python, or similar programming languages **

- Experience with **Power BI or other visualization tools **

- Strong understanding of **data governance, security, and compliance **

- Excellent problem-solving and communication skills

**Preferred Qualifications: **

- Experience working in **enterprise-scale data environments **

- Exposure to **real-time data processing and analytics **

- Knowledge of **cloud architecture and distributed systems **

- Prior experience working with cross-functional and global teams

**Eligibility Criteria: **

- Candidates on **GC, USC, L2S, H4 EAD, TN, OPT EAD ** are encouraged to apply

- Must be open to **relocation across the USA ** or willing to work in **key states such as New Jersey, New York, etc. **

- **No C2C / consultancy profiles ** will be considered

**What We Offer: **

- Opportunity to work on cutting-edge **Microsoft Fabric and cloud data platforms **

- Collaborative and growth-oriented environment

- Competitive compensation and benefits

**For Faster approach shoot your resumes at karthik.n@precisiontechcorp.com . Feel free to refer profiles by sending it to the same email **

Data Architect (Microsoft Fabric)

Charter Communications, Inc. (NASDAQ:CHTR) is a leading broadband connectivity company and cable operator serving more than 32 million customers in 41 states through its Spectrum brand. Over an advanced communications network, the company offers a full range of state-of-the-art residential and business services including Spectrum Internet®, TV, Mobile and Voice.

For small and medium-sized companies, Spectrum Business® delivers the same suite of broadband products and services coupled with special features and applications to enhance productivity, while for larger businesses and government entities, Spectrum Enterprise provides highly customized, fiber-based solutions. Spectrum Reach® delivers tailored advertising and production for the modern media landscape. The company also distributes award-winning news coverage, sports and high-quality original programming to its customers through Spectrum Networks. More information about Charter can be found at corporate.charter.com. To view our privacy policy, please visit: https://www.spectrum.com/policies/your-privacy-rights

Industry: Telecommunications
Company Size: 10,001+ employees

Spectrum

**This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.**

Are you eager to contribute to the implementation of innovative data services in a dynamic environment? As a **Data Developer I ** at Spectrum, you will play a crucial role in assisting with data architecture and automation, helping to streamline processes and enhance data planning strategies. Your contributions will be key in advancing our data initiatives, ensuring efficient and effective data solutions that support the organization’s growth and success.

**How You’ll Make An Impact**

- Perform basic research and analysis as directed by your manager

- Assist in implementing data services, data structures/models and data movement infrastructures

- Assist in troubleshooting data job failures, including but not limited to error handling, data manipulation and I/O processing

- Provide preventative solutions under manager supervision

- Assist in implementing database concepts and practices, including definition and query language under supervision

- Assist in modification, enhancement, and implementation of requirements and architecture specifications of data warehousing systems and/or processing infrastructure

- Collaborate with stakeholders to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations

- Begin to work closely with staff, vendors, consultants, and external partners to quickly identify and resolve data integration issues

- Create monitors and alerts to track data quality

- Begin developing reporting processes, programs and solutions following established standard

**Working Conditions**

- Office environment

**Required Qualifications**

**What You’ll Bring to Spectrum**

**Education**

- Bachelor's degree in computer science, statistics, operations research and/or equivalent combination of education and experience

- Prior Internship, related course work, or certification

**Experience**

- 1+ year of ETL experience

- 1+ year of data visualization experience (Tableau, Alterx, Microstrategy)

- 1+ year of software engineering experience

**Skills**

- Basic knowledge of SQL and Python (YAML – if applicable)

- Basic knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces

- Basic knowledge of cloud-based infrastructures and services relevant to data processing, data automation and data platform/processing troubleshooting

- Familiarity with Spectrum’s product data sources and data pipelines

- Basic report development and visualization design skills

- Experience with building use cases and providing development support to data scientists and data engineers

- Experience with data lake – all data sources - building out data sets for use cases

- Experience with querying and designing efficient warehousing structures

BDA318 2026-72692 2026

Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.

A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

This job posting will remain open until 2026-05-22 01:51 PM (UTC) and will be extended if necessary.

The base pay for this position generally is between **$67,100.00 and $107,300.00 **. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.

**Get to Know Us ** Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet®, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, you’ll be keeping our customers connected to what matters most in 41 states across the U.S. Watch this video to learn more.

**Grow Your Career Here ** We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.

Data Developer I

Operating in more than 200 countries and territories, we’re committed to moving our world forward by delivering what matters. Beginning as a small messenger service, UPS was started by two enterprising teenagers and a $100 loan. Now, we’re more than 500,000 UPSers strong, with operations around the globe.

As a transportation and logistics leader, we are proud to offer innovative solutions to our customers—both big and small. We also support the communities we serve. Just take a look at The UPS Foundation’s social impact report! 

Headquartered in Atlanta, we can be found on the web at ups.com and about.ups.com. Job seekers can visit upsjobs.com to learn more. Our active social media channels include Facebook, Instagram, Twitter, YouTube, and TikTok. 
 
Facebook: www.facebook.com/ups
Instagram: www.instagram.com/ups/
Twitter: www.twitter.com/ups
TikTok: UPS
YouTube: www.youtube.com/ups
 
Website
https://about.ups.com/
The UPS Foundation’s social impact report:
https://about.ups.com/us/en/social-impact/reporting/the-ups-foundations-social-impact-report.html
Career Site
upsjobs.com

Industry: Truck Transportation
Company Size: 10,001+ employees

**Before you apply to a job, select your language preference from the options available at the top right of this page.**

Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

**Summary**

**Job Description:**

UPS Digital is evolving from channel‑level reporting to a centralized Marketing Data Mart that serves as a single, governed source of truth across awareness, acquisition, activation, and conversion.

The Senior Digital Marketing Operations Analytics Manager will serve as the single point of accountability for designing and governing a scalable marketing data architecture, integrating multiple external platforms (Adobe Analytics, paid media agencies, LinkedIn, Google, Bing, BlueConic, CRM, and more), and ensuring the data remains clean, flexible, and performance‑ready as the ecosystem expands. This role partners closely with other roles in Marketing, BIA, Data Science, Revenue Operations, and external vendors to translate marketing needs into scalable, reusable data solutions. Acting as the bridge between strategy and execution, this role builds and maintains trusted dashboards, strengthens data hygiene, enables scalable audience building, and supports advanced analytics, including propensity modeling.

The role combines analytics leadership with data engineering fluency. This role will own the end‑to‑end marketing data model (prospects and customers), define ingestion standards, guide vendor integrations, and operationalize insights through Power BI dashboards that directly inform how success is measured by marketing efficiency, optimized investments decisions, and enabled self-service insights across the organization.

**Key Responsibilities**

**Marketing Data Architecture & Governance**

- Own marketing data architecture end‑to‑end, partnering with the BIA and Data Science teams to design, document, and govern core marketing datasets and how they connect across systems and channels.

- Establish and maintain a “source of truth per metric” approach, ensuring metric definitions, lineage, and ownership are clear and consistent.

- Define governance standards for marketing measurement and activation, ensuring data is usable, trusted, and scalable.

**Dashboarding, Reporting & Measurement Frameworks**

- Build and maintain marketing dashboards in partnership with BIA/Data Science, including executive and working‑level views that clearly distinguish KPIs vs. operational diagnostics.

- Document for each dashboard metric: source system, refresh frequency, and whether retrieval is manual vs. automated; continuously improve reliability and repeatability.

- Develop measurement frameworks that convert data into decisions, highlighting what’s working, why it’s working, and what to do next

**Data Hygiene & Quality Management**

- Own data hygiene practices that improve marketing data completeness, accuracy, consistency, and usability across reporting and activation workflows.

- Establish standards and monitoring for common issues (duplication, inconsistent tagging, broken mappings, incomplete coverage) and coordinate remediation with analytics/engineering partners.

- Drive operational discipline in inputs that impact reporting quality (e.g., consistent campaign tagging/UTM practices in partnership with analytics/ops).

**Audience Building & Propensity to Buy Models**

- Collaborate with Data Science to define requirements, operationalize, and maintain advanced analytics capabilities (e.g., propensity/predictive models, automated insights, anomaly detection).

- Partner with Marketing Operations and channel owners to build and govern scalable audiences: traits, segments, activation rules, and repeatable processes that support campaign execution.

- Ensure audience definitions are reusable, well‑documented, and measurable, enabling consistent targeting and performance evaluation across programs.

**Minimum Qualifications**

- Bachelor’s degree in Marketing Analytics, Data Science, Information Systems, Business, or equivalent professional experience.

- Experience supporting marketing automation and/or audience segmentation workflows, including creation of data structure, campaign measurement and data flows between systems.

- Experience in marketing analytics, marketing operations, or digital analytics, with demonstrated ownership of reporting and measurement outputs.

- Hands‑on experience working with CRM data used for marketing measurement and activation

- Proven ability to translate marketing needs into clear requirements, metrics, dashboards, and actionable insights through cross‑functional partnership.

**Preferred Qualifications**

- Experience acting as a data product owner for marketing analytics or Marketing Technology platforms.

- Experience with Adobe Analytics, Google analytics and other marketing measurement platforms.

- Experience building and governing audience traits, segments, and activation rules across paid and CRM channels.

- Familiarity with advanced analytics such as propensity/predictive modeling, automated insights/anomaly detection, or performance forecasting.

- Experience with BI and visualization tools for executive and self‑service reporting; comfort operating in enterprise‑scale environments.

**Employee Type**

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

**Other Criteria**

UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

**Basic Qualifications**

Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

Sr Digital Marketing Operations Analytics Manager

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