Data Arch/AI Engineer
HybridEden Prairie, Minnesota, United States
Job Summary
Lead the migration from legacy reporting systems into Microsoft Fabric, establishing a scalable, governed data foundation for analytics and AI. Partner with stakeholders and contractors to design data models, pipelines, and integrations that accurately reflect business processes. Architect and implement AI-enabled solutions using LLMs, Azure AI capabilities, and enterprise data, moving concepts from proof of concept to production-ready applications. Define technical standards, governance practices, and documentation to support self-service analytics and responsible AI adoption. Serve as the technical bridge between business priorities and engineering teams to ensure solutions remain aligned and secure.
Required Qualifications
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.
- 5–7+ years of experience in data architecture, data engineering, analytics engineering, software engineering, or related technical roles.
- Strong experience with the Microsoft data ecosystem, ideally including Microsoft Fabric, Azure, Power BI, and related technologies.
- Experience designing and maintaining enterprise data architectures, data models, integrations, and pipelines.
- Working knowledge of SQL and Python; familiarity with Power BI and other analytics or development tools.
- Experience working with LLM APIs, generative AI platforms, or AI tool deployment in a business environment.
- Ability to evaluate business problems and determine appropriate data architecture, integration, analytics, or AI solutions.
- Strong analytical and problem-solving skills with the ability to independently research complex technical and data questions.
- Demonstrated ability to work across business and technical teams and communicate effectively with both audiences.
- Experience reviewing technical designs and providing recommendations around scalability, maintainability, security, and performance.
Desired Qualifications
- Hands-on experience implementing or administering Microsoft Fabric in an enterprise environment.
- Experience with Azure AI services, Azure OpenAI, Microsoft Copilot, or similar enterprise AI technologies.
- Experience building AI applications using enterprise data, including retrieval-augmented generation (RAG), AI agents, semantic search, or related patterns.
- Experience with data governance, lineage, security, compliance, and enterprise data-management standards.
- Experience moving AI prototypes or proofs of concept into production environments.
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