Overview

Position Purpose

Lead the technical direction of StoneX's 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.

Responsibilities

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

Qualifications

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.

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.

Lead - IT Data Engineering and Analytics