Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and be paid. 

Learn more at Visa.com.

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

Visa

Savvy Admin PROD

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

**Job Description**

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate one of the world’s most sophisticated global transaction networks—processing more than 65,000 secure transactions per second across 80 million merchants, 15,000 financial institutions, and billions of people worldwide.

Within Value‑Added Services (VAS), we are building AI‑native data foundations that transform how data is discovered, understood, and activated—enabling product intelligence, growth analytics, and real‑time decisioning across Visa’s ecosystem.

**The Opportunity**

We are seeking a Lead Architect to define and drive the vision for VAS Data Foundations—a hybrid, AI‑ready platform that consolidates company wide data into a unified, governed, and intelligent data layer.

This role sits at the intersection of data architecture, AI/ML, and product intelligence. You will shape how data flows from raw signals to semantic meaning to AI‑driven insights—powering dashboards, product analytics, AI agents, and executive decision‑making at global scale.

**The Work Itself**

- Define the end‑to‑end architectural vision for AI‑native data foundations, spanning cloud data platforms, semantic layers, AI metadata, and consumption layers.

- Lead consolidation of disparate data sources (on‑prem, Hadoop, acquisitions, cloud) into a single, accessible, governed data layer.

- Design and evolve an AI‑native semantic layer that enables any agent, analyst, or product to discover, query, and reason over data consistently.

- Enable agentic and self‑service analytics, including automated insights, metric discovery, product analytics, and “talk‑to‑data” experiences.

- Partner with Product, Business, AI and Data Science teams to operationalize AI Data Scientist capabilities for automated visualization, deep‑dive insights, and product intelligence.

- Establish architectural standards for data quality, metadata, lineage, observability, governance, and responsible AI usage.

- Guide platform evolution across data ingestion, ETL/ELT pipelines, scalable data models, metric catalogs, and presentation layers.

- Translate business and product needs (growth, churn, retention, fraud, performance) into durable data and semantic architectures.

- Influence and mentor senior engineers and architects, elevating architectural rigor and long‑term thinking across VAS.

**Essential Functions**

- Act as the principal architect for VAS Data Foundations, owning long‑term architectural coherence across data, AI, and analytics layers.

- Lead structured discovery with Product and Business stakeholders to align business questions to metrics to data model to semantic models to AI‑ready data products.

- Ensure platforms are hybrid cloud‑native, AI‑ready, privacy‑preserving, and globally scalable.

- Drive architectural decisions that balance speed, governance, reusability, and cost efficiency.

- Identify systemic patterns across data quality, usage, performance, and analytics friction—and drive foundational improvements.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

**Qualifications**

**Basic Qualifications:**

- 10+ years of relevant work experience with a Bachelor’s degree, **or **

- 7+ years with an advanced degree (e.g., Masters, MBA, JD, MD), **or **

- 4+ years with a PhD, **or **

- 13+ years of relevant work experience regardless of degree.

**Preferred Qualifications:**

- 12+ years of experience with a Bachelor’s degree, **or **

- 8–10 years with an advanced degree (e.g., Masters, MBA, JD, MD), **or **

- 6+ years with a PhD, **or **

- 15+ years of experience with a Bachelor’s degree, **or **

- 12+ years with an advanced degree, **or **

- 6+ years with a PhD.

**The Skills You Bring:**

- Strong architectural mindset with experience designing large-scale data platforms, semantic layers, or analytics foundations.

- Deep knowledge of cloud data ecosystems, including data lakes, warehouses, streaming, ETL/ELT, metadata management, and governance.

- Experience supporting or building AI/ML and LLM-based analytics, including agent-driven or conversational data applications.

- Ability to think in systems and abstractions—data models, metrics, semantics, and contracts—not just pipelines.

- Comfortable operating in ambiguity, shaping vision, and driving alignment across engineering, product, and business teams.

- Excellent communication skills, able to explain complex architectures to senior technical and non-technical stakeholders.

- Passion for building platforms that enable product analytics, growth insights, and decision intelligence at scale.

**Additional Information**

**Work Hours: ** Varies upon the needs of the department.

**Travel Requirements: ** This position requires travel 5-10% of the time.

**Mental/Physical Requirements: ** This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

**U.S. APPLICANTS ONLY: The estimated salary range for this position is to USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.**

Lead Data Architect

Vertiv is a global leader in critical digital infrastructure for applications in data centers, communication networks, and commercial and industrial environments.

As businesses, industries, and communities become more connected, we pioneer and deliver end-to-end power and cooling technologies to help our customers stay resilient, optimized, and future-ready.

With our industry-leading innovative technologies and global services network, we are fueling the revolution of the digital world - keeping technology ecosystems running efficiently and without interruption.

Vertiv is supercharging data’s potential; accelerating the pace of technology, raising the bar for accelerated compute and redefining the limits of densification.

The world depends on data we power and cool™

Industry: Appliances, Electrical, and Electronics Manufacturing
Company Size: 10,001+ employees

Vertiv

**Job Description: Principal Data Architect **

**Job Summary **

Vertiv is building a modern, intelligent data ecosystem that powers world‑class operations, customer experiences, and AI‑driven decision-making. As we accelerate our digital and AI transformation, high‑quality, governed, and accessible data is at the center of how we operate.

We are seeking a **Principal Data Architect ** for our Enterprise Data group. This role is a strategic, hands-on technical leader responsible for designing and governing the enterprise data architecture that powers Vertiv’s Data Platform for Analytics, AI, Domain Data Products, and Data Management capabilities. This role anchors the adoption of Snowflake Data & AI platform capabilities, ensures alignment with business domain needs (e.g., Order-to-Cash, Finance, Supply Chain), and establishes the architectural foundation for **data quality, data products, metadata, and AI-ready capabilities **.

The Principal Data Architect partners closely with Engineering, Product Management, Source System teams and business leaders to define scalable patterns, reusable components, and data models that accelerate adoption of trustworthy, governed, high-quality data in our Enterprise Data Lake.

This role is ideal for a solid technical leader who thrives at the intersection of business & data architecture, and hands-on technologist – who can demonstrate quick workable prototypes with hands-on approach to overall Data Architecture patterns.

**About the Team **

The Enterprise Data team is responsible for building Vertiv’s foundational data ecosystem that enables the company to scale AI, analytics, and operational intelligence. Our mission is to ensure that:

- **Data is well‑managed and structured ** through automated controls and consistent data practices.

- **Data is easily available, discoverable and usable ** through well-designed data products, discoverability, metadata, and semantic consistency.

**Responsibilities: **

**Enterprise Data Architecture **

- Define and maintain Vertiv’s **enterprise data architecture framework **, including conceptual, logical, and physical models across domains.

- Lead end-to-end architectural design for our Enterprise Data Lake (powered by Snowflake), DQ tooling, and stable Data pipelines enabling real-time data availability for related use cases.

- Establish standards for **Data-as-a-Product **, including metadata, lineage, ownership, and interoperability.

- Translate business use cases into data architecture roadmaps aligning with enterprise priorities (O2C, Finance Transformation, AI use cases).

**Data Platform & Engineering Architecture **

- Architect scalable ingestion, transformation, orchestration, and storage/processing layers using Snowflake, Kafka/streaming, and modern ELT patterns.

- Define reusable patterns for dynamic tables, ingestion zones, and domain data products.

- Provide architectural direction for engineers building pipelines, APIs, data products, and semantic layers.

**Data Quality & Observability **

- Lead design and rollout of data quality measurement frameworks (profiling, rules, cleansing, dimensions, monitoring).

- Ensure data models and pipelines embed data reliability and observability from the start.

**AI, Analytics, and Advanced Use Cases **

- Architect data foundations to enable Agentic AI, predictive analytics, and generative AI.

- Define and promote patterns for feature engineering, vector storage, and ML-ready data sets.

- Work with Data Scientists and AI teams to ensure architecture supports scalable model training, serving, and feedback loops.

**Governance, Security & Compliance **

- Partner with Cybersecurity and IT to define access models, data protection, and governance guardrails.

- Ensure architecture aligns with regulatory, financial reporting, and audit requirements.

- Drive consistent use of cataloging, lineage, and metadata management tools.

**Thought Leadership & Mentorship **

- Serve as a senior technical mentor to data engineers, solution architects, and product teams.

- Introduce best practices, emerging patterns, and modern architectural approaches.

- Influence stakeholders across business and technology with strong communication, storytelling, and technical depth

**Requirements: **

- 10+ years of experience in data architecture, data engineering, or software engineering roles.

- Deep expertise with Snowflake, SQL, Lakehouse/Data Lake architectures, and cloud platforms (AWS preferred).

- Proven experience designing conceptual/logical data models, canonical models, and domain data products.

- Strong understanding of MDM, Data Quality, metadata, lineage, data governance and data management frameworks.

- Hands-on experience with ELT/ETL frameworks, real-time/streaming, orchestration tools, BI and Analytics tools.

- Ability to translate business processes (manufacturing related like O2C, Finance, Supply Chain) into scalable data architectures.

- **Preferred **

- Experience enabling **AI/ML **, vector databases, or agent-based systems.

- Prior experience with regulated or global manufacturing environments.

- Background in solution architecture or enterprise architecture.

- Certifications in Snowflake, cloud, or data management frameworks

**The successful candidate will embrace Vertiv’s Core Principals & Behaviors to help execute our Strategic Priorities. **

**OUR CORE PRINCIPALS **: ~~Safety. Integrity. Respect. Teamwork. Diversity & Inclusion. ~~

**OUR STRATEGIC PRIORITIES **

~~• Customer Focus ~~

~~• Operational Excellence ~~

~~• High-Performance Culture ~~

~~• Innovation ~~

~~• Financial Strength ~~

**OUR BEHAVIORS **

~~• Own It ~~

~~• Act With Urgency ~~

~~• Foster a Customer-First Mindset ~~

~~• Think Big and Execute ~~

~~• Lead by Example ~~

~~• Drive Continuous Improvement ~~

~~• Learn and Seek Out Development ~~

**About Vertiv **

Vertiv is a $8.0 billion global critical infrastructure and data center technology company. We ensure customers’ vital applications run continuously by bringing together hardware, software, analytics and ongoing services. Our portfolio includes power, cooling and IT infrastructure solutions and services that extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs around 20,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

**Work Authorization **

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

**Equal Opportunity Employer **

~~Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com. ~~

Principal Data Architect

SLAS, headquartered in Oak Brook, IL, is a tax exempt organization under section 501 (c) (3) of the United States Internal Revenue Code. It is a professional society representing a global community of more than 18,000 life sciences professionals—from academia, government and industry—collectively focused on leveraging the power of technology to achieve scientific objectives. We consider a primary part of our mission to unite great minds in life sciences discovery and technology for the advancement of all research.

Industry: Non-profit Organizations
Company Size: 11-50 employees

SLAS (Society for Laboratory Automation and Screening)

**Company Description**

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVie’s R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.

**Job Description**

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

**Key Responsibilities**

- Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVie’s AI/ML strategy, particularly within BGM.

- Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).

- Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.

- Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.

- Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.

- Communicate the impact of a robust data platform to AbbVie’s drug pipeline, using both user stories and KPIs that allow measurement of the value added.

- Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.

- Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented.

- Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH.

Qualifications

**Qualifications**

- BS, MS, or PhD in computer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecture with a track record of designing enterprise data platforms.

- Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.

- Production programming expertise in SQL, python, or Java.

- Experience building cloud data infrastructure solutions using AWS, Azure, or GCP.

- Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes.

- Experience with cross-functional team leadership, and track record of collaboration excellence.

- Previous experience in the pharmaceutical or biotechnology sectors.

- Experience managing both team member delivery and career development.

- Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment.

- Ability to integrate data governance principles into everyday decision making.

- The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role.

- Position will be hired based on level of experience - Principal Research Scientist I or Principal Research Scientist II

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at thetime of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.

- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

- This job is eligible to participate in our short-term incentive programs.

- This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Principal Research Scientist II - Data Architecture, Biotherapeutics and Genetic Medicine

BioSpace is the digital hub for life science news and jobs. We provide essential insights, opportunities and tools to connect innovative organizations and talented professionals who advance health and quality of life across the globe.

Industry: Internet News
Company Size: 11-50 employees

BioSpace

**Company Description**

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us atwww.abbvie.com. Follow @abbvie onX,Facebook,Instagram,YouTube,LinkedInandTik Tok.

Biotherapeutics and Genetic Medicine (BGM), a part of Discovery Research within AbbVies R&D, is a global organization that is responsible for discovering and optimizing drug candidate molecules for biotherapeutic modalities (monoclonal antibodies, multispecifics, proteins, conjugates, etc.) and genetic medicines (AAV, LNPs, siRNA etc.) for all therapeutic areas across discovery.

**Job Description**

The Principal Data Architect is a visionary leader in the development and success of our cloud-native data platform, which supports the development and integration of predictive and generative machine learning solutions in drug discovery scientist workflows. This role requires a strong ability to see both the big picture and the details, and to work cross-functionally with both wet lab scientists, ML engineers, software engineers, data engineers, and data infrastructure engineers, among others.

This position reports to the Head of AI/ML in Biotherapeutics and Genetic Medicine (BGM) and will serve as a trusted advisor to senior leadership. This role is pivotal in driving our organization towards becoming a leader in the application of artificial intelligence, ensuring that AI and ML initiatives are built on a robust, resilient, and scalable data foundation that grows with the organization.

**Key Responsibilities**

- Drive the vision, execution, implementation, adoption, and continuous improvement of a robust, scalable data platform as the foundation for the execution of AbbVies AI/ML strategy, particularly within BGM.

- Define data models and architectures that collect, store, structure, access, and connect datasets generated across a dozen different lab groups, enabling downstream uses (ML model development, operational reports, lab documentation, etc.).

- Collaborate closely with wet lab scientists, especially the Head of Lab Data Products, and automation engineers to maximize the utility of data captured by lab automation workflows.

- Collaborate closely with data scientists, and deployment engineers, to ensure data pipelines support both machine learning model development and deployment into production.

- Co-develop and execute a strategy that maximizes FAIR-fication of BGM data and in concert with wider BGM strategic goals.

- Communicate the impact of a robust data platform to AbbVies drug pipeline, using both user stories and KPIs that allow measurement of the value added.

- Multiply impact of the data platform by championing and communicating the principles behind connected data, data stewardship, data-as-a-product, and cloud-first and cloud-native architectures.

- Collaborate with data infrastructure and data governance experts across AbbVie to ensure that data governance principles and policy are optimally implemented.

- Ensure alignment and coordination of data infrastructure initiatives with existing AbbVie initiatives such as Convergence, and ARCH.

**Qualifications**

**Qualifications:**

- BS, MS, or PhD incomputer science, data science, computational biology, computational chemistry, computational biophysics, or related field with typically 14-16+ (BS) years, 12-14+ (MS) years, or 6-8+ (PhD) years of experience in data architecturewith a track record of designing enterprise data platforms.

- Deep technical skills in data modeling, data integration, implementation of data storage solutions, data pipelines, and integration with AI/ML.

- Production programming expertise in SQL, python, or Java.

- Experience building cloud data infrastructure solutions using AWS, Azure, or GCP.

- Familiar with both wet and dry lab scientific principles and processes, able to foresee and prevent data platform-originating failure modes.

- Experience with cross-functional team leadership, and track record of collaboration excellence.

- Previous experience in the pharmaceutical or biotechnology sectors.

- Experience managing both team member delivery and career development.

- Exceptional interpersonal and communication skills, and strong evidence of ability to build stakeholder alignment.

- Ability to integrate data governance principles into everyday decision making.

- The position is located at Worcester, MA site as a full time in office or hybrid (3 days per week) role.

- Position will be hired based on level of experience - Principal Research Scientist I orPrincipal Research Scientist II

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

- The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at thetimeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location,andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.

- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

- This job is eligible to participate in our short-term incentiveprograms.

- This job is eligible to participate in our long-term incentiveprograms

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of anybonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's soleandabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Galactic Minds INC is a leading IT consulting and services company that specializes in delivering innovative and cutting-edge solutions to businesses across various industries. With our team of seasoned IT professionals, we provide a wide range of services. Our goal is to help our clients leverage the latest technologies to drive business growth, improve operational efficiency, and enhance customer experience. We are committed to delivering high-quality solutions that are tailored to meet the unique needs of each of our clients.

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

Galactic Minds INC

**Job Title – Data Analytics Architect **

**Location – Remote, USA **

**Duration – Log term **

Note : Visa Independent candidate are encouraged to apply.

**Job Description: **

**Responsibilities **

- The ideal candidate will have a good understanding of big data technologies, data engineering, and cloud computing DWH projects with a focus on Azure Databricks.

- Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with a reasonable timeline.

- Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards.

- Ensure best practices are followed by the team in terms of code quality, data security, and scalability.

- Stay updated with the latest developments in Databricks and associated technologies to drive innovation.

- Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication and team collaboration.

**Essential Skills **

- Overall 12 years of experience along with 5 years of data analytics project experience

- Experience with Azure Databricks notebook development and Delta Lake

- Good understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory / Fabric

- Experience with ETL/ELT processes, data warehousing, and building data lakes

- SQL skills and familiarity with NoSQL databases

- Experience with CI/CD pipelines and version control systems like Git

**Soft Skills **

- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders

- Strong problem-solving skills and a proactive approach to identifying and resolving issues

- Leadership skills with the ability to manage and mentor a team of data engineers

**Nice to Have Skills **

- Power BI for dashboarding and reporting

- Microsoft Fabric for analytics and integration tasks

- Spark Streaming for processing real-time data streams

**Experience **

- Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using Databricks, Synapse notebooks, and Azure Data Factory

- Good understanding of different domain industries with respect to data analytics and DWH projects

- Should be good in Excel and PowerPoint

- Good understanding and experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2

- Experience in building and optimizing query layers using Databricks SQL

- Familiarity with modern CI/CD practices especially in the context of Databricks and cloud-native solutions

**Skills **

**Mandatory Skills: ** Azure Cloud Architecture

Data Analytics Architect

Formed by the merger of Laird Norton Wealth Management and Wetherby Asset Management, Laird Norton Wetherby (LNW) serves exceptional families and individuals seeking to activate the full potential of their wealth. To help turn lifelong ambitions and multigenerational aspirations into reality, LNW brings to each client relationship a high level of care combined with deep expertise in wealth and legacy planning, investments, and trust and estate services. 

Offering both RIA (Registered Investment Advisor) and trust services, LNW is committed to providing clients with unbiased, independent guidance and solutions. LNW has offices in Seattle, San Francisco, New York, Los Angeles and Philadelphia, as well as an affiliated trust company in South Dakota, empowering clients across the U.S. and around the world.

LNW is owned by employees and majority owned by Laird Norton Company, one of the longest-sustained family enterprises in the United States.

Industry: Financial Services
Company Size: 51-200 employees

Laird Norton Wetherby

Location: Seattle, WA or San Francisco, CA or Remote (Full-time; Remote or Partially Remote)

We are seeking a highly skilled **Senior Data Architect ** to lead the design, management, and maturity of the firm’s enterprise data ecosystem. This role owns the architecture and reliability of the LNW data warehouse, reporting platforms, and integration pipelines that power analytics across the organization. The ideal candidate will combine deep SQL and data engineering expertise with a strong understanding of financial services, data flows, and reporting needs of a wealth management firm.

**Your Role And Responsibilities**

Data Architecture & Engineering

- Own the design and long-term architecture of the firm’s enterprise data warehouse and data pipelines

- Develop and maintain scalable SQL data models supporting firm metrics, critical data needs, client reporting, and operational analytics.

- Build and maintain ETL/ELT pipelines, replication strategies, and processes to align data across portfolio accounting, CRM, trading, and operational systems.

- Design data ingestion frameworks for large structured files, API integrations, and replication feeds.

Reporting & Analytics Platforms

- Maintain and optimize reporting infrastructure including Power BI, SSRS, and related semantic models.

- Partner with business leaders to deliver dashboards supporting firm metrics, revenue reporting, and operational insights.

- Develop & maintain Bulk Document Management Dashboard for portal delivery of performance reporting and other document types currently operationalized.

- Ensure reporting models are performant, well documented, and scalable.

Data Governance & Quality

- Establish standards for data quality, lineage, documentation, and lifecycle management.

- Implement monitoring and validation processes to ensure accuracy of critical financial and operational data.

- Partner with compliance and leadership to ensure proper governance and obfuscation of sensitive client data.

- Manage Data Backup and retention policies, Recovery Time Objectives (RTO).

Integration, Automation, & Agentic AI

- Design integration frameworks using SQL, APIs, and automation platforms such as Azure Data Factory (ADF), SSIS and Workato.

- Support data synchronization between systems including CRM, portfolio accounting, billing, and trading platforms.

- Leverage Autonomous AI into integration frameworks using MCP or 3rd party harnesses to support decision-driven automation and delivery.

- Enable LNW’s responsible use of AI and advanced analytics by ensuring enterprise data is accurate, well-structured, and accessible to analytical tools.

- Deliver high-quality datasets for AI consumption, implementing governance and lineage controls to ensure trustworthy outputs, and supporting integration with platforms such as Microsoft Copilot, Power BI AI features, and other approved analytical tools.

- Automate data processing workflows to improve operational efficiency and reduce manual intervention.

**More About You**

Experience and Education

- 7+ years of experience in data engineering, data architecture, or data warehouse development.

- Expert-level SQL skills with deep experience designing relational data models.

- Strong experience with Salesforce SOQL, SQL Stored Procedures, Views, Keys, Indexes and Constraints.

- Strong experience with data warehouse architecture and ETL/ELT pipeline design.

- Hands-on experience with reporting tools such as Power BI and SSRS.

- Experience integrating enterprise SaaS platforms using APIs and automation tools.

- Strong analytical thinking and ability to translate business reporting needs into scalable data models.

**Preferred Skills & Attributes**

- Experience in wealth management, investment management, or financial services.

- Experience with portfolio accounting systems, CRM platforms, and trading systems.

- Experience managing enterprise data warehouses on Microsoft SQL Server.

- Experience with SSIS, Python data pipelines, and/or similar integration tools.

Candidates must meet all employment qualifications in force at time of hiring, including successful passing of background & credit checks and any pre-employment examinations, signing of all employee agreements, and have the ability to perform the essential functions, duties and responsibilities set forth in a consistent and efficient manner. Reports to: Chief Operating Officer and General Counsel

**Compensation And Benefits**

We provide a competitive salary commensurate with your experience and skills and offer an annual bonus based on company and individual performance. The hiring salary range for this position in Seattle is $115,000 to $150,000, in San Francisco is $130,000 to $170,000, and Remote from $100,000 to $135,000, depending on experience.

The salary range applies to the current posting and may change in the future. The range may vary based on key factors such as education, job-related knowledge, experience, skill set, and geographic location.

We offer excellent benefits including medical, dental and vision coverage, generous time off (including sabbaticals), flexible spending plans for health care and dependent care, 401(k) plan, educational reimbursements. For details of all benefits, please visit our website here.

**About Us**

For more than five decades, Laird Norton Wetherby (LNW) has served the interests of exceptional families and individuals. As both an RIA and trust company, LNW offers a full spectrum of specialized wealth & legacy planning, investment management and trust & estate services that advance the aspirations and long-term, multigenerational financial ambitions of its clients. LNW has offices in Seattle, San Francisco, New York, Los Angeles and Philadelphia, as well as an affiliate trust company in South Dakota, empowering clients across the U.S.

LNW is majority owned by Laird Norton Company, one of the longest-sustained family enterprises in the United States, as well as by active employees.

**Additional Information**

Our firm aims to cultivate an inclusive environment and culture that fosters growth, collaboration and acceptance; where we celebrate the diverse voices and perspectives of our employees; and where employees feel empowered to bring their full, authentic selves. Our diversity drives us forward and helps us build deeper relationships with our clients and our community.

The firm is an equal opportunity employer and prohibits discrimination against employees, applicants for employment, individuals providing services in the workplace pursuant to a contract, unpaid interns and volunteers based on their actual or perceived sexual orientation, gender, gender identity, gender expression, ancestry, marital status, registered domestic partner status, military and veteran status, civil air patrol status, national origin, immigration status, pregnancy (including childbirth and related medical conditions, and including medical conditions related to lactation) or medical condition (cancer and genetic characteristics).

- As of 04/13/2026

Senior Data Architect

HireIn Solutions is a growing staffing and recruiting company headquartered in California, USA. The HireIn team has various groups of experienced and talented professionals who can deliver individual consulting, professional training, software planning, integration, and implementation. HireIn provides high-quality professionals to the Startups, Fintech, Banking, Insurance, Healthcare, Retail, Hospitality, etc sectors.

At HireIn we believe that the processes and people are always on a continuous path to improvement, and our absolute goal is to offer the best value to our clients. We ensure that HireIn consultants are satisfied with working in growth-accelerating and challenging environments and carefully select our candidates with outstanding academic records and professionalism with amazing soft skills. At HireIn, we strive to develop and grow our business by transcending the client’s expectations and delivering quality consulting and staffing services. 

We are actively involved with advanced training for different sectors for our consultants to upskill and educate them on the latest trends and technology preparing them to undertake critical roles and meet client expectations for fast deliveries.

Industry: Staffing and Recruiting
Company Size: 11-50 employees

Hire'in Solutions

**About the Company **

Lead Application Architect/Data Architect

Location - New York City, NY

Employment Type – Contract Only

**About the Role **

Must-Have Skills: Data Modeling (SQL & No-SQL), Solution Architecture, PostgreSQL, MongoDB, Google Cloud Platform (GCP), Data Architecture, SQL, NoSQL, Python

**High-Value Differentiating Skills **

- Demonstrated experience in Performance Tuning, & Optimisation.

- Data Pipeline orchestration using Apache Airflow

- Knowledge and experience in Data Governance, Schema Design, Microservices, Redis, FastAPI.

**Responsibilities **

- **Design and Develop Applications: ** Create and maintain software application architectures that meet business requirements.

- **Data Management: ** Lead data modelling, data integration, and data governance efforts to ensure data quality and consistency.

- **Collaboration: ** Work closely with stakeholders, software developers, and IT teams to plan and execute projects.

- **System Integration: ** Ensure the compatibility and integration of software components and data systems.

- **Performance and Quality: ** Monitor and enhance the performance, quality, and responsiveness of applications.

- **Documentation: ** Develop and maintain architecture models, documentation, and guidelines.

- **Issue Resolution: ** Identify and resolve application and data issues promptly.

**Qualifications **

- Proficiency in modern data processing technologies (along with Meta data driven data modelling) and application development frameworks, programming knowledge, OOPs concepts, RDBMS.

- Knowledge of agile development methodologies.

- Experience with data orchestration and pipeline tools.

- Cloud platform expertise (Preferably Google cloud platform), any programming background is necessary.

- Expertise in database technologies (e.g., SQL, NoSQL, PostgreSQL, MongoDB) and DB Cache.

- Understanding of microservices architecture and RESTful API design (python API knowledge).

- Proficiency in front-end and back-end development frameworks (e.g., React, Angular, Node.js).

- Familiarity with CI/CD pipelines and DevOps practices.

- Knowledge of security best practices and tools (e.g., IAM, encryption, firewalls).

**Required Skills **

- Describe your experience designing and delivering full-stack applications as a Solution Architect?

- Describe a specific example where you designed a complex data model and then optimized it to improve performance (what you changed and the measured impact). Also list the databases you have strong hands-on experience with?

- Describe your hands-on responsibilities across backend development (Python APIs), frontend development (React), and cloud infrastructure operations/maintenance. Include the typical tasks you perform in each area.

- List the cloud (preferably Google Cloud Platform) services you have used in production, and briefly describe what you used each service for?

- List your core development skills and technologies, and indicate your proficiency level for each (hands-on / working knowledge)?

**Pay range and compensation package **

[Pay range or salary or compensation]

**Equal Opportunity Statement **

[Include a statement on commitment to diversity and inclusivity.]

TekValue IT Solutions is a fast growing IT Solutions & Services (Product Developer, Staffing, Consulting  & Trainning), Overseas Education consulting, Job Portal, Resume Database, Immigration Services,  and Taxation. We provide services for all the above services all over the world, but primary focus would be USA, Canada, UK and India. We also provide third party End to End US Staffing services from India, which includes (Educating, Marketing, Support & Placement). We do recruitment services for Contract, Contract to Hire & Fulltime United States, Canada & India.

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

TekValue IT Solutions

**Job Title: Senior Data Architect **

**Location: ** Lewisville, TX

**Employment Type: ** Full-Time

**Key Responsibilities **

- Design and implement scalable, secure, and high-performance **data architecture solutions **

- Develop and maintain **logical and physical data models ** for enterprise systems

- Lead **data integration, ETL/ELT development **, and data pipeline optimization

- Architect and manage **data warehousing solutions **, including cloud-based platforms

- Work with **Kafka data streams ** for real-time data processing and integration

- Optimize database performance, reliability, and scalability

- Oversee and support **data migration and modernization initiatives **

- Ensure compliance with **data governance, security, and privacy standards **

- Collaborate with cross-functional teams including engineering, analytics, and business units

- Partner with the **Architecture Board and senior leadership ** to define data strategy and standards

- Provide technical leadership and mentorship to data engineering and development teams

Mpower Plus is a trusted partner in strategic talent acquisition and staffing. Since 2011, Mpower Plus has developed strong alliances with global IT and non-IT firms, becoming a cornerstone in the industry. Our goal is to help our clients shape sustainable success and be prepared for ‘what’s next’.

Headquartered in the UK, our footprint spans key EU & Asian markets eg Benelux, DACH, India, Singapore, Korea and our recent focus on emerging markets eg Poland, Spain, Romania. With strategic locations, we have positioned ourselves to cater to diverse talent needs. At Mpower Plus, our expertise extends across multiple domains, ensuring top-notch staffing solutions for a variety of industries.

We bring more than just a network of candidates; we offer a strategic partnership built on deep industry expertise, a rigorous search methodology, and a global reach. Key factors that differentiate us are:

• Global Reach, Local Expertise: While we have a strong presence in major global markets, we have significantly expanded our operations in Eastern Europe, tapping into a growing pool of highly skilled technology and security leaders. Our ability to source candidates from diverse markets helps build truly global teams with local insights.
• Tailored Search Process: We take a consultative, tailored approach to each search, ensuring that we fully understand client’s unique needs and strategic goals before identifying the right candidates.
• Track Record of Success: Our firm has a proven track record of placing senior executives in highly specialized roles within digital transformation, cloud strategy, and cyber security. We pride ourselves on not just filling positions but on finding leaders who will drive lasting change and help you meet your business objectives.
• Cross-Industry Expertise: While we focus heavily on technology leadership, our experience spans across industries, allowing us to bring cross-industry insights and best practices to your leadership strategy.

Industry: Staffing and Recruiting
Company Size: 51-200 employees

MPower Plus

**Job Title: GenAI Data Modeling Architect (AI Architect – GenAI & RAG Platforms) **

**Location: ** Remote

**Experience: ** 12–15+ Years

**Role Overview **

We are seeking a highly experienced **AI Architect ** to define the architecture, data strategy, and governance framework for enterprise-scale **Generative AI (GenAI) ** and **Retrieval-Augmented Generation (RAG) ** platforms.

This is a senior, client-facing role responsible for designing end-to-end AI and data ecosystems, leading advanced **data modeling (Medallion Architecture) ** initiatives, and driving strategic AI transformation programs.

The role also involves acting as a **trusted advisor to clients **, identifying business opportunities, and delivering scalable AI/data solutions that drive enterprise growth.

**Key Responsibilities **

**1. Client Advisory & Business Development **

- Engage with client executives to understand business challenges and translate them into AI/data solutions

- Identify new opportunities for account growth and expansion

- Lead solution discussions, architecture proposals, and roadmap presentations

**2. AI Architecture & Data Modeling **

- Design enterprise-scale **GenAI and RAG architectures **

- Lead **Data Modeling initiatives ** using **Medallion Architecture (Bronze, Silver, Gold) **

- Extend and optimize **Silver Data Layer ** for AI, embedding, and analytics workloads

- Define end-to-end data lineage across ingestion, vectorization, and AI outputs

**3. Data Governance & Quality **

- Define enterprise data governance standards and AI usage policies

- Design frameworks for **data quality, drift detection, hallucination control, and trust scoring **

- Ensure compliance with regulatory and Responsible AI standards

**4. Technical Leadership **

- Provide architectural guidance and mentorship to engineering teams

- Collaborate with data engineering, platform, and security teams

- Define best practices for **MLOps, CI/CD, and observability ** in GenAI systems

**Required Skills & Experience **

- 12–15+ years experience as AI/Data Architect or Solution Architect

- Strong expertise in **Data Modeling & Data Engineering **

- Experience with **Medallion Architecture (Bronze, Silver, Gold) **

- Hands-on experience with **GenAI, RAG, and LLM-based systems **

- Strong background in **cloud platforms (Azure preferred, AWS/GCP acceptable) **

- Expertise in **AI governance, data lineage, and data quality frameworks **

- Experience in **API design, distributed systems, and MLOps **

- Strong client-facing and pre-sales consulting experience

- Knowledge of **Responsible AI, security, and compliance frameworks **

**Preferred Skills **

- Azure AI Services

- Vector databases (Pinecone, Weaviate, etc.)

- LangChain / LLM orchestration tools

- Data observability platforms

- Enterprise AI transformation programs

**Ideal Candidate Profile **

- Senior **AI/Data Architect / Principal Architect **

- Strong consulting background with client engagement experience

- Proven experience delivering production-grade GenAI systems

GenAI Data Modeling Architect (AI Architect – GenAI & RAG)

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

EXL Neo is a leading IT consulting and staffing firm dedicated to delivering innovative technology solutions and connecting businesses with top-tier IT talent for enterprises in India, USA, Canada and Costa Rica. Our mission is to empower organizations to thrive in a rapidly evolving digital landscape by providing expert guidance, strategic consulting, and highly skilled professionals tailored to meet the unique needs of each client.

Our Services

IT Consulting:
* Strategic IT Planning: We work closely with clients to develop IT strategies that align with their business goals, ensuring technology serves as a catalyst for growth and efficiency.
* Technology Implementation: From software development to cloud migration, our experts guide organizations through seamless technology implementations that enhance operational capabilities.
* Cybersecurity: Protecting your business from cyber threats is our priority. We offer comprehensive cybersecurity assessments and solutions to safeguard your data and systems.
* Digital Transformation: We assist businesses in embracing digital transformation by modernizing their IT infrastructure and adopting emerging technologies such as AI, IoT, and blockchain.

IT Staffing:

* Temporary Staffing: Whether you need to scale up for a project or require specialized skills, we provide highly qualified IT professionals on a temporary basis to meet your needs.
* Permanent Placement: We help you find the right talent for your team, ensuring a perfect match in terms of skills, experience, and cultural fit.
* Contract-to-Hire: This flexible staffing option allows you to evaluate a candidate's performance and fit within your organization before making a permanent hiring decision.
* Executive Search: Our executive search services focus on identifying and recruiting top-level IT leaders who can drive your business forward.

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

Exl Neo

We are seeking a highly skilled Data Architect to design, implement, and optimize enterprise-level data architecture solutions. The ideal candidate will possess deep expertise in data modeling, database management, cloud data platforms, and data governance. This role will collaborate closely with business and IT stakeholders to deliver scalable, secure, and efficient data solutions aligned with organizational objectives.

**Key Responsibilities: **

·     Design and implement enterprise-wide data architecture that supports business strategy and growth.

- Develop data models, data lakes, and data warehouses for both structured and unstructured data.

- Establish and enforce data governance, security, and compliance frameworks across the organization.

- Evaluate and recommend data storage, processing, and management technologies (SQL/NoSQL, cloud platforms, etc.).

- Lead data integration, migration, and ETL initiatives across diverse systems and platforms.

- Collaborate with engineering, business intelligence (BI), and analytics teams to ensure data accessibility and flow efficiency.

- Monitor and optimize database performance, scalability, and security.

- Ensure compliance with GDPR, HIPAA, CCPA, and other relevant regulatory standards.

- Stay current with emerging data technologies, tools, and industry best practices to continually improve data capabilities.

**Required Skills & Qualifications: **

·     Proven experience in Enterprise Data Architecture and Data Modeling.

- Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).

- Strong hands-on experience with cloud data platforms such as AWS (Redshift), Azure (Synapse), and GCP (BigQuery, Snowflake).

- Expertise in Big Data technologies and Analytics platforms.

- Solid understanding of ETL and Data Integration processes.

- Knowledge of data governance, metadata management, and data security frameworks.

- Excellent collaboration and communication skills, with the ability to work across cross-functional teams

Enterprise Data Architect

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

Make it real.
www.capgemini.com

Industry: Services et conseil en informatique
Company Size: + de 10 000 employés

Capgemini

**Technical Project Manager **

**This position works hybrid with 2 to 3 days per week in office in Richmond, Virginia. Remote only is not an option. **

**Role Summary **

The Technical Project Manager leads the delivery of large-scale data and analytics initiatives, coordinating cross-functional teams across engineering, architecture, analytics, and business stakeholders. This role ensures projects are delivered on time, within scope, and aligned to enterprise data and AI strategies.

**Key Responsibilities **

- Plan and manage end-to-end delivery of data platform, analytics, and AI initiatives

- Coordinate work across data engineers, architects, analysts, and external vendors

- Develop and manage project plans, milestones, dependencies, and budgets

- Translate technical concepts into clear updates for executive and business stakeholders

- Manage risks, issues, and change requests proactively

- Ensure adherence to enterprise data architecture, governance, and security standards

- Support Agile and hybrid delivery models (Scrum, SAFe,)

- Identify and Implement Automation

**Technology & Platforms **

- Enterprise Data Platforms (Azure, AWS, GCP)

- Data engineering and analytics ecosystems (Databricks, Synapse)

- Project & Agile tools (Azure DevOps, MS Project)

- BI & Analytics platforms (Power BI, Tableau)

**Qualifications **

- Bachelor’s degree in Information Systems, Engineering, or related field

- 8–12+ years of IT project management experience

- Strong background delivering data, analytics, or cloud modernization programs

- PMP, SAFe, or Agile certifications preferred

- Excellent communication, leadership, and stakeholder management skills

The base compensation range for this role in the posted location is $128,791 to $199,187.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

**Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. ** In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

- Life and disability insurance

- Employee assistance programs

- Other benefits as provided by local policy and eligibility

**Important Notice: ** Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

**Disclaimers **

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. **http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law **

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Technical Project Manager

STAFFWORXS delivers Software Solutions and Services to help Business and Organizations unlock the value of its Potential for growth of the Organization. We have implemented Solutions, provided Strategic Consulting, and assisted in IT Staff Augmentation. Our mission is to provide solutions and services that offer Enormous Value, Dependable Services and Deliver Quality Business Benefits. We believe that a solution can be developed in multiple technologies, but the selection of the right technology is critical. In addition, we offer Legacy Modernization and Migration services from older platforms and monolithic structures to Distributed environment, either to the Cloud or on-premise Data center.Through discussion with the clients, we plan and implement strategic initiatives by Redeveloping Legacy applications to evolve with new business requirements or provide alternative Re-hosting solutions that result in faster ROI, economy of time and transformation to the organizations. Knowledgeable in business as well as technology, STAFFWORXS provides you with a balanced perspective and real-world IT solutions, that fits your unique business needs.

Industry: Information Technology & Services
Company Size: 51-200 employees

STAFFWORXS

At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.

**Job Details: **

** **

**Job Title: Data Architect **

**Location: Chicago, IL (Hybrid) **

**Duration: Long term Contract **

**Role Summary **

Responsible for defining enterprise data architecture on AWS and Databricks Lakehouse platforms, enabling scalable data lakes, Lakehouse solutions, and enterprise analytics for financial services organizations.

**Key Responsibilities **

- Define enterprise data architecture for Data Lake and Lakehouse platforms

- Design scalable architectures on AWS and Databricks

- Define Medallion architecture (Bronze, Silver, Gold) standards

- Establish data governance, security, and architecture standards

- Guide engineering teams on scalable data platform implementation

- Collaborate with business and analytics teams to translate data requirements

**Technical / Functional Skills **

- Strong SQL, Python, and PySpark expertise

- Hands-on experience with Databricks Lakehouse and Delta Lake

- Experience designing enterprise data lakes on AWS (S3, IAM)

- Knowledge of dimensional modeling and enterprise data warehouse design

- Experience with distributed query engines such as Trino

**Experience **

12–16 years in Data & Analytics architecture, preferably in Financial Services or Capital Markets.

**Certifications (Preferred) **

Databricks Certified Data Engineer or Architect, AWS Solution Architect (Preferred)

Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

Databricks Architect

Delivering power and propulsion solutions in the air, at sea and on land

Industry: Industrial Machinery Manufacturing
Company Size: 10,001+ employees

Rolls-Royce

**Job Description**

**Job Title: ****Enterprise Architect: Data & AI**

**Working Pattern: Fulltime**

**Working location: Indianapolis, IN**

This is an opportunity to be an integral part of an evolving Enterprise Architecture practice that delivers the most efficient and effective combination of technology, processes, data, and applications to enable Rolls-Royce to execute its vision, values, and strategy.

In this role you will be responsible for the Data & AI layers of the enterprise architecture to ensure that it supports our next generation digital products, leveraging big data and cloud technologies to enhance and accelerate our Digital and IT capabilities.

You’ll be defining our forward looking strategy and roadmaps that will shape the future of our business. We’ll actively support your development and your path to professional accreditation, as well as offering flexible working.

At Rolls-Royce, we pioneer cutting-edge technologies that deliver the cleanest, safest and most competitive solutions to our planet’s vital power needs. We embrace the power of data and technology and aim to be Digital First in everything we do.

**Why Rolls-Royce?**

Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount.

We are proud to be a force for progress, powering, protecting and connecting people everywhere.

We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey.

Rolls-Royce has been recognized as the top employer in the **Engineering & Manufacturing ** category on the prestigious **Forbes Top Employers for Engineers ** list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive.

Be part of a team that sets the industry standard and drives groundbreaking solutions.

At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference.

Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.

**What You Will Be Doing**

With this attractive opportunity you will get a chance to:

- Creation and ownership of the technology strategy for the Data & AI layers of the Enterprise Architecture model, incorporating data platforms, big data, and public cloud

- Ownership of the 5-year roadmap of investments for Data & AI, including indicative costs, timescales, and development of supporting business case

- Definition and communication of capable Reference Architectures and other Architecture Building Blocks (ABB) for use in the design and delivery of solutions

- Identification of new technologies and products for exploitation across the enterprise, and opportunities for optimisation

- Liaison with other internal Rolls-Royce teams and stakeholders, including Enterprise Architecture, Digital & IT Solution Teams, and IT Security, as well as outsourced service providers to enable the execution of the strategy

**Who We’re Looking For**

At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.

**Basic Requirements**

- Bachelor’s degree with 8 years of experience in IT Architecture, OR

- Master’s degree with 6 years of experience in IT Architecture, OR

- JD/PhD, with 3 years of experience in IT Architecture

- In order to be considered for this opportunity, you must be a US Citizen

**Preferred Requirements**

- Proven IT Architecture experience with a proven track record in establishing and maturing a Data Architecture domain

- Extensive experience of building enterprise-scale data and AI capabilities across a global estate

- Strong domain knowledge of Data & AI, including familiarity with cloud data and AI platforms (e.g. MS Azure, AWS Google Cloud) and big data technologies (e.g. Hadoop, Spark)

- Excellent leadership, communication, and interpersonal skills

- Ability to think strategically and solve complex business scenarios

- Working knowledge of TOGAF, DAMA-DMBOK, or similar frameworks is a plus

**What We Offer**

We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.

Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It’s a locally managed and flexed informal discretionary arrangement. As a minimum we’re all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.

For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.

Relocation assistance is available for this position.

**Closing date: ** April 17, 2026

**Job Category**

Information Technology

**Job Posting Date**

10 Apr 2026; 00:04

**Pay Range**

$150,800 - $245,050-

**Location:**

Indianapolis, IN

**Benefits**

Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.

Enterprise Architect: Data & AI

Pioneer Management Consulting is a business management consulting firm headquartered in Minneapolis, MN, founded to create jobs people love in service to the many companies we admire. We help our clients achieve their most strategic and complex business goals through our areas of expertise—strategy, execution, organizational effectiveness, data analytics, technology, and more.

We serve mid to large-size companies in Minnesota and Colorado, regardless of industry, who have complex transformation projects planned or underway. Proven solutions are applied through each of our practices, always with an unwavering focus on execution, results, and positioning our clients for success.

Pioneer is made up of corporate executives, entrepreneurs, turn-around experts, and MBA grads who value humility; the hunger to learn and grow; and connectedness, to our team, clients, and communities. We’ve found a home in a place filled with people who are humble, eager to do amazing work, and connected to the things they’re most passionate about. A place where we can be moms, dads, coaches, fishermen, investors, dog-lovers, painters, pursuers of African politics, philanthropists, micro-brewers, and more.

We are proud to be recognized as a Star Tribune's 2022 Top Workplaces, ranking fourth in the small business category, and winning the Communications Excellence Award. 

We deliver world-class consulting with small-town heart and hustle – creating a different consulting experience that’s strikingly better for all.

Industry: Business Consulting and Services
Company Size: 51-200 employees

Pioneer Management Consulting

Grow with us. Lead with us.

At Pioneer, you'll work directly with executive teams, solving complex problems and shaping strategies that reset what's possible. Sometimes the work is headline-worthy. Sometimes it's foundational. But every project earns trust - and earns us the right to take on more. You'll get the kind of access, challenge, and growth found at big firms - while helping build a company that's scaling fast and guided by what we value.

If you're looking for meaning, momentum, and a seat at the table, you're in the right place.

The Director, Data Architecture & Platforms is a senior consulting leader responsible for designing and delivering modern data platforms and enterprise data architectures for Pioneer clients. This role helps organizations modernize their data ecosystems to support analytics, AI, and digital transformation initiatives.

The Director works closely with client executives, technology leaders, and Pioneer consulting teams to define data strategies, architect scalable platforms, and guide implementation of modern analytics environments. This role will also contribute to the growth of Pioneer's Data & Technology practice through solution development, delivery leadership, and client engagement.

**Responsibilities**

- Lead the architecture and design of modern enterprise data platforms supporting analytics, AI, and business intelligence.

- Define enterprise data architecture strategies aligned to business and technology objectives.

- Design data ingestion, integration, and transformation frameworks across enterprise systems.

- Develop data models, governance frameworks, and trusted data assets that support scalable analytics.

- Lead client workshops to define current-state architecture, future-state blueprints, and modernization roadmaps.

- Guide delivery teams implementing data platforms, pipelines, and analytics solutions.

- Partner with business and analytics stakeholders to enable advanced analytics and AI capabilities.

- Mentor consulting team members including data engineers, analysts, and architects.

- Contribute to Pioneer's data consulting offerings, methodologies, and business development efforts.

- Serve as a trusted advisor to client technology leaders including CIOs, CTOs, and Chief Data Officers.

**Requirements**

- 15+ years of experience in data architecture, data engineering, analytics platforms, or enterprise data strategy.

- Experience designing modern data platforms, including data warehouses, lakehouses, and cloud analytics environments.

- Strong knowledge of platforms such as Databricks, Snowflake, Azure, AWS, or Google Cloud data services.

- Experience with data modeling, data integration, ETL/ELT pipelines, and enterprise data management frameworks.

- Familiarity with AI/ML-enabled data platforms and advanced analytics ecosystems.

- Experience integrating enterprise applications and operational systems into modern data architectures.

- Strong consulting skills including client engagement, solution architecture, and executive communication.

- Proven ability to lead teams and deliver complex data and analytics programs.

- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; advanced degree preferred.

**Benefits**

The estimated salary range for this role is $166,000 - $249,000 annually. This is based on a wide array of factors unique to each candidate, including but not limited to skillset and years and depth of experience. Bonuses and other incentives are awarded at the Company's discretion and are based upon individual contributions and overall company performance. Pioneer is proud to offer a comprehensive benefits package that includes meaningful time off and paid holidays, parental leave, 401(k) including employer match, tuition reimbursement, and a broad range of health and welfare benefits including medical, dental, vision, life, long and short-term disability, etc.

Director, Data Architecture & Platforms

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

N2P Systems

**Job Summary **

KANINI is seeking an experienced **Data Architect ** with deep expertise in **Google Cloud Platform (GCP) ** and modern data platform design.

The ideal candidate will be responsible for:

- Designing **scalable enterprise data architectures **

- Establishing **best practices for cloud data platforms **

- Guiding engineering teams in building **high-performance, secure, and cost-efficient data solutions **

This role requires strong experience in **Medallion Architecture, cloud-native data platforms, and large-scale data processing systems **, along with the ability to translate complex business requirements into robust technical solutions.

This is a **Contract role ** only available on **W2 **.

**Key Responsibilities **

- Design and implement **end-to-end enterprise data architectures on GCP **

- Build and optimize **data warehouses using BigQuery **

- Define and implement **Medallion (Bronze, Silver, Gold) architecture **

- Architect scalable **data pipelines using Cloud Dataflow **

- Design and manage **workflow orchestration using Cloud Composer (Airflow) **

- Develop and enforce **data governance, security, and access controls (IAM) **

- Optimize data solutions for **performance, scalability, and cost-efficiency **

- Establish **CI/CD pipelines and version control best practices (Git) **

- Collaborate with stakeholders to translate **business requirements into technical designs **

- Mentor engineering teams and enforce **architecture standards and best practices **

**Required Skills & Experience **

- Strong experience with **Google Cloud Platform (GCP) ** data services

Deep expertise in:

- **BigQuery ** (architecture, partitioning, clustering, performance tuning)

- **Medallion Data Architecture **

- **Data Modeling & Data Warehousing concepts **

Proficiency in:

- **Python, PySpark **

- **Advanced SQL **

Experience with:

- **Cloud Dataflow ** (pipeline design and optimization)

- **Cloud Composer (Airflow) ** for orchestration

- **Google Cloud Storage (GCS) **

- **CI/CD pipelines and Git-based version control **

Strong knowledge of:

- **GCP IAM, security architecture, and data governance **

- Designing **scalable, secure, and cost-efficient data platforms **

**Nice to Have **

- Experience with **Kafka ** (streaming architecture)

- Exposure to **Terraform ** for infrastructure as code

- Experience with **workflow automation frameworks **

Data Architect

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