Lead Engineer

About the role

Lead Engineer on StoneX's Azure data platform team in Bangalore, IN, operating on a hybrid schedule (4 days/week). You will own the end-to-end architecture of the Databricks Lakehouse, Microsoft Fabric, and BI semantic layer, while guiding a team of four engineers. Day-to-day work includes setting technical direction, reviewing designs, partnering with product and business stakeholders, and driving platform reliability, cost, and performance improvements.

What you’ll do

• 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.

What you’ll bring

• 8+ years of data engineering / data platform experience, including 2–3 years as a technical lead owning architecture and guiding engineers.
• Deep, hands-on expertise in Azure Databricks — Delta Lake, PySpark, Unity Catalog, cluster and performance tuning at scale.
• Strong experience with Microsoft Fabric and ADLS Gen2.
• Strong Python (PySpark) and SQL; proficient in at least one additional language (Java, C#, or similar).
• Hands-on with Docker, Git, Kubernetes, and IaC (Terraform, Ansible).
• Solid competencies across Azure cloud networking, identity management, storage, and compute.
• Track record of architecture and design authority on non-trivial platforms.
• Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or related discipline — or equivalent experience.

Nice to have

• Financial services or other regulated-industry experience.
• Production experience with Microsoft Fabric (OneLake, Direct Lake).
• Data governance experience — Unity Catalog, lineage, data contracts, cost governance / FinOps on Databricks.
• Experience designing and operating BI solutions on Power BI and SSAS - dataset design, DAX, RLS, capacity and refresh.
• Familiarity with Kimball modeling patterns.

Skills

Education

Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or related discipline — or equivalent experience.