Lead - IT Data Engineering and Analytics at StoneX Group

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Microsoft Fabric, PySpark, SQL, Terraform, Kubernetes, Power BI, Data Modeling, CI/CD, Python, Delta Lake, Unity Catalog, Docker, SSAS, DAX, Lakehouse Architecture

Industry

Financial Services

Description

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 Qualifications Required 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.

Responsibilities

Lead the technical direction and architecture of the Azure data platform, including the Lakehouse and BI semantic layer. Manage a team of four engineers while collaborating with stakeholders to deliver platform initiatives and maintain high engineering standards.