Jobs and Careers

Enterprise Data Analytics and AI Developer

United States - Remote, United StatesRemotefull_timeVerifiedPosted 30 Jan 2026

💰 $170,000/yr($140,000/yr – $170,000/yr)

About the role

Location(s): Multi-state
Practice/Department: IT
Work Environment: Remote
Compensation: $140,000-$170,000 annually*

Dudek’s journey began in 1980 with a vision to serve Southern California’s water and wastewater agencies.
Today, we are a 100% employee-owned firm supporting clients nationwide and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations, and we’ve been honored with multiple national Top Workplace Awards.
Our employee-owners are unified by a singular commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community resilience.
Learn more about our award-winning culture, the benefits and perks of being a Dudekian, and the projects you will have the opportunity to shape.

Who You Are

As an employee-owner, you embrace accountability, working safely, and collaboration while thinking resourcefully and independently.
Like all Dudekians, you are curious and solution-oriented, with the ability to adapt quickly to changes and approach challenges with a spirit of innovation.

How You’ll Make an Impact

The Enterprise Data Analytics and AI Developer is responsible for the design, implementation, and deployment of enterprise-scale data management, data analytics, and AI capabilities. The role leverages Microsoft Fabric (including OneLake, Data Factory, lakehouses, warehouses, and Power BI) and Microsoft AI Foundry (including model catalog, agent service, evaluations/observability, and control planes) to deliver secure, governed, and reliable solutions. Working across traditional corporate organizations and lines of business, this role ensures solutions are delivered to specification, aligned with enterprise architecture standards, resilient in production, and optimized for cost, performance, and compliance.

Duties and Responsibilities

Strategy & Planning

Partner with enterprise architecture & engineering to define data and AI roadmaps that align with business objectives and operating models.
Develop reference architectures and patterns for Fabric (OneLake, Lakehouse/Warehouse, Data Factory) and AI Foundry (agents, grounding, evaluations, guardrails).
Shape data service standards (naming, domains, data contracts), semantic modeling conventions, and model lifecycle policies.
Contribute to backlog planning, estimation, release planning, and solution sizing for enterprise programs.
Influence security, privacy, and compliance requirements (RBAC, sensitivity labels, DLP) for data and AI workloads.

Organizational Leadership

Provide technical leadership and mentorship to technical teams and practitioners while establishing code review, testing, and deployment standards.
Translate business outcomes into technical designs and acceptance criteria; communicate tradeoffs and risks to non-technical stakeholders.
Collaborate with corporate governance teams to ensure responsible AI and governed data usage.
Enable knowledge transfer with high-quality documentation, runbooks, and enablement sessions for end users and support teams.