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Microsoft Fabric Lead
Job in
Piscataway, Middlesex County, New Jersey, 08854, USA
Listed on 2026-07-13
Listing for:
head-huntress.com
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Microsoft Fabric Lead
Job Description The Microsoft Fabric Lead will architect, lead, and deliver enterprise-scale analytics and AI-enabled data solutions using Microsoft Fabric and Microsoft AI Foundry. This role owns the end-to-end data and AI platform strategy, including the creation of data agents, AI-powered insights, and autonomous analytics workflows integrated with governed enterprise data.
Roles & Responsibilities
- Platform Architecture & Strategy
- Lead the design and implementation of enterprise analytics and AI solutions using Microsoft Fabric and Microsoft AI Foundry.
- Define reference architectures combining Lakehouse, Warehouse, semantic models, and AI agents.
- Establish best practices for AI-ready data architecture leveraging One Lake and drive the Fabric + AI Foundry adoption roadmap.
- Data Engineering & Integration
- Design and oversee scalable data ingestion, transformation, and orchestration pipelines using Fabric Data Pipelines, Spark/Notebooks, and Azure Data Factory.
- Ensure high-quality, AI-ready datasets that can be safely consumed by data agents and copilots.
- AI, Data Agents & Microsoft AI Foundry
- Design and develop data agents that reason over enterprise data, automate analytics workflows, and provide conversational insights.
- Integrate Fabric data assets with Microsoft AI Foundry using RAG and agent orchestration patterns while ensuring responsible AI and security compliance.
- Analytics & BI Enablement
- Lead Power BI semantic model design within Fabric, enabling governed self-service analytics and AI-driven insights within dashboards and reports.
- Governance, Security & Compliance
- Define governance standards for data and AI agents including lineage, sensitivity labeling, access control, and compliance with enterprise security and responsible AI policies.
- Technical Leadership & Stakeholder Engagement
- Serve as the technical authority for Fabric and AI solutions, mentor engineering teams, conduct architecture reviews, and translate business requirements into scalable data and AI solutions.
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