Enterprise Data Analytics and AI Developer

Posted 43ds ago

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Job Description

Enterprise Data Analytics and AI Developer responsible for data management and AI capabilities. The role ensures solutions are secure, governed, and deliver value to enterprise architecture.

Responsibilities:

  • 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.
  • Provide technical leadership and mentorship to technical teams and practitioners while establishing code review, testing, and deployment standards.
  • Collaborate with corporate governance teams to ensure responsible AI and governed data usage.
  • Lead end-to-end technical delivery for multiple initiatives—from discovery and design through build, test, release, and operations.

Requirements:

  • 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.

Benefits:

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Flexible working hours
  • Professional development opportunities