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Dudek logo
Dudek

Doing work that matters, since 1980.

Enterprise Data Analytics, AI Developer

Data AnalystData AnalystFull TimeRemoteLeadTeam 501-1,000Since 1980H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

81 days ago

Salary

$140K - $170K / year

Seniority

Lead

Bachelor Degree7 yrs expEnglishAzurePythonSQLHashiCorp Vault

Job Description

Enterprise Data Analytics, AI Developer

Dudek

• 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.

Job 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.
  • 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)

Benefits

  • Health insurance
  • Retirement plans
  • Flexible work arrangements
  • Professional development

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