Lead - IT Data Engineering and Analytics

Position Purpose

Primary Responsibilities

• Own the architecture of the Azure data platform end-to-end — Databricks Lakehouse, Fabric, and the BI semantic layer (Power BI, SSAS/AAS).
• Engage directly with product, business, and technical stakeholders to identify, scope, and deliver data platform initiatives.
• Lead delivery across a team of four engineers — break down work, unblock, mentor, and raise the engineering bar through design and code reviews.
• Set standards for data modeling, PySpark/SQL quality, semantic-model design, testing, CI/CD, and production readiness.
• Own platform infrastructure as code (Terraform, Kubernetes, Helm) and the CI/CD, monitoring, and observability that supports it.
• Define and uphold SLAs for the platform; lead incident response; drive cost, performance, and reliability improvements.
• Partner with Architecture, Security, DevOps, Cloud Engineering, and Networks to meet enterprise and regulatory standards.
• Architecting AI platforms at scale — Claude, GitHub, Azure AI Foundry, and Databricks Mosaic AI

Required