Lead Engineer

Overview

Connecting clients to markets – and talent to opportunity.

With 5,400+ employees and over 80,000 institutional, commercial, and payments clients, we operate from more than 80 offices spread across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors.

Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, StoneX Group is made up of four business segments that offer endless potential for progression and growth.

Business Segment Overview

Corporate: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you'll have the opportunity to optimize processes and implement game-changing policies.

Responsibilities

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.

Primary duties will include:

• 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
  
  

Qualifications

To land this role you will need:

• 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.