Position Purpose

Lead the technical direction of StoneXs Azure data platform. You will own the platform architecture of our Lakehouse and BI semantic layer guide a team of four engineers and work directly with product business and technical stakeholders to deliver platform initiatives. This is a hands-on technical lead role you set direction review designs and solve the hardest problems.

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

• 8 years of data engineering / data platform experience including 23 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.
• Bachelors degree in Computer Science Mathematics Electrical Engineering or related discipline or equivalent experience.

Preferred

• 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.

Working Environment

• Hybrid Bangalore (4 days).
• Dynamic time-sensitive environment.
• Travel as required.