2 years ago
Bengaluru, IndiaStaff+

Responsibilities

  • Own the architecture of the Azure data platform, including Databricks Lakehouse, Microsoft Fabric, and the Power BI/SSAS/AAS BI semantic layer.
  • Identify, scope, and deliver data platform initiatives with product, business, and technical stakeholders.
  • Lead delivery for four engineers by breaking down work, removing blockers, mentoring, and conducting design and code reviews.
  • Define standards for data modeling, PySpark and SQL quality, semantic-model design, testing, CI/CD, and production readiness.
  • Own infrastructure as code, CI/CD, monitoring, and observability using Terraform, Kubernetes, and Helm.
  • Define and uphold platform SLAs, lead incident response, and drive cost, performance, and reliability improvements.
  • Partner with Architecture, Security, DevOps, Cloud Engineering, and Networks to meet enterprise and regulatory standards.
  • Architect AI platforms at scale using Claude, GitHub, Azure AI Foundry, and Databricks Mosaic AI.

Requirements

  • 8+ years of data engineering or data platform experience, including 2–3 years as a technical lead owning architecture and guiding engineers.
  • Deep hands-on expertise with Azure Databricks, Delta Lake, PySpark, Unity Catalog, and cluster and performance tuning at scale.
  • Strong experience with Microsoft Fabric and ADLS Gen2.
  • Strong Python/PySpark and SQL skills, plus proficiency in at least one additional language such as Java or C#.
  • Hands-on experience with Docker, Git, Kubernetes, Terraform, and Ansible.
  • Competence across Azure cloud networking, identity management, storage, and compute.
  • A track record of architecture and design authority on non-trivial platforms.
  • Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related discipline, or equivalent experience.
  • Preferred qualifications include financial services or regulated-industry experience, Microsoft Fabric production experience, data governance expertise, Databricks FinOps experience, and experience designing and operating Power BI and SSAS solutions.
  • Preferred experience includes OneLake, Direct Lake, DAX, row-level security, capacity and refresh management, and Kimball modeling patterns.

Benefits

  • Hybrid work arrangement in Bangalore with four days in the office.
  • Travel as required.
  • Opportunity to work in a dynamic, time-sensitive environment.

Tech Stack

Categories

Data Engineering
StoneX Group Inc.

About StoneX Group Inc.

5,001-10,000 employees

StoneX Group Inc. is a public financial services firm that connects institutional, commercial, and retail clients to global markets through brokerage, execution, clearing, risk management, and cross-border payments. It offers trading and hedging across commodities, equities, fixed income, futures/options, and FX, and operates retail platforms via GAIN Capital’s FOREX.com and City Index (acquired 2020). Founded in 1924 and headquartered in New York, it lists on Nasdaq under SNEX.

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