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.
Leverage 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.
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.
Provide technical leadership and mentorship to technical teams and practitioners while establishing code review, testing, and deployment standards.

7+ years of hands-on experience in data engineering, analytics engineering, and/or AI application development in enterprise environments.
Deep understanding of data modeling frameworks: Kimbal, EDW Streaming and Lakehouse Architecture.
Expertise with Microsoft Fabric: OneLake, Data Factory, Lakehouse, Warehouse, Real-Time Intelligence/KQL, and Power BI semantic models.
Expertise with Microsoft AI Foundry: model catalog, Agent Service, evaluations/observability, safety/guardrails, and Control Plane.
Proficiency in SQL, Python, and KQL; experience with data modeling (star, data vault), and performance tuning.
Experience implementing RAG pipelines (Azure AI Search/vector indices) and securely grounding agents to governed enterprise data.
Proven delivery of production-grade solutions with CI/CD, IaC, automated testing, and operations runbooks on Azure.
Strong understanding of data governance, privacy, and security (RBAC, sensitivity labels, row-level/object-level security, DLP).
Excellent communication skills with the ability to explain complex technical topics to diverse stakeholders.
Must possess a valid driver’s license and have active personal automobile liability insurance by the first day of employment.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. (Preferred)
Certifications such as Microsoft Certified: Azure Data Engineer Associate, Azure AI Engineer Associate, or Microsoft Fabric certifications. (Preferred)

Enterprise Data Analytics, AI Developer

Key skills