Description

You will lead the design and implementation of enterprise analytics and AI solutions using Microsoft Fabric and Microsoft AI Foundry.

Responsibilities

• Define reference architectures combining Lakehouse, Warehouse, semantic models, and AI agents.
• Oversee scalable data ingestion, transformation, and orchestration pipelines using Fabric Data Pipelines, Spark, and Azure Data Factory.
• Design and develop data agents that reason over enterprise data, automate analytics workflows, and provide conversational insights.
• Enable governed self-service analytics by leading Power BI semantic model design within Fabric.
• Define governance standards for data and AI agents, including lineage, sensitivity labeling, and access control.

Required Skills

• 8+ years of experience in data engineering and modern data architectures.
• Strong hands-on experience with Microsoft Fabric, OneLake, Lakehouse, and Warehouses.
• Proficiency in Power BI, SQL, PySpark, Python, and Spark.
• Proven experience integrating Fabric data assets with Microsoft AI Foundry using RAG and agent orchestration patterns.
• Experience with AWS and React.js is required.
• Ability to mentor engineering teams and conduct architecture reviews.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• 3+ years of tenure in previous roles.

Key Skills

Education

Bachelor's degree