Description

Lead the design and implementation of enterprise analytics and AI solutions using Microsoft Fabric and Microsoft AI Foundry.

This role is on-site.

Responsibilities

• Define reference architectures combining Lakehouse, Warehouse, and AI agents while establishing best practices for AI-ready data.
• Design scalable data ingestion, transformation, and orchestration pipelines using Fabric Data Pipelines, Spark/Notebooks, and Azure Data Factory.
• Develop data agents that reason over enterprise data, automate analytics workflows, and provide conversational insights via Microsoft AI Foundry.
• Lead Power BI semantic model design within Fabric to enable governed self-service analytics and AI-driven insights.
• Define governance standards for data and AI agents, including lineage, sensitivity labeling, and compliance with enterprise security policies.

Required Skills

• 10+ years of experience in modern data architectures and leadership of enterprise data platforms.
• Strong hands-on experience with Microsoft Fabric, OneLake, Lakehouse, and Warehouses.
• Proficiency in Power BI, SQL, PySpark, Python, and Spark for data engineering and integration.
• Proven experience integrating Fabric data assets with Microsoft AI Foundry using RAG and agent orchestration patterns.
• Ability to ensure responsible AI and security compliance in data agent development.
• Serve as the technical authority for Fabric solutions, mentor engineering teams, and conduct architecture reviews.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with Azure Data Factory for hybrid integration scenarios.

Key Skills

Education

Bachelor's degree