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

Savvy Admin PROD

**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.

Senior Software Engineer - Backend

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

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

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)

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