We are hiring a Principal Data Platform Engineer to turn established data architecture into reliable, production-grade systems. This is a builder role, not a conceptual architect position.

The Principal Data Platform Engineer is responsible for implementing and institutionalizing our data platform patterns—ingestion, modeling, data quality, and reliability—across products and teams. You will work closely with the Senior Director, architects and product engineering teams, translating architectural intent into repeatable, enforceable, and observable solutions.

• Lead the design and implementation of a architecture on Azure Fabric, enabling efficient flow from raw to curated data.
• Develop clear, well‑tested, and well‑documented code in Python/PySpark and SQL, following modern DataOps best practices.
• Optimize Lakehouse performance using partitioning, indexing, and effective OneLake storage strategies to support large regulatory datasets.
• Analyze real business problems and deliver pragmatic data solutions, keeping strategy grounded and execution focused.
• Collaborate with product managers, developers, SREs, and engineers across levels and geographies to build high‑impact software.
• Design systems with operability in mind, using monitoring and metrics to quickly diagnose pipeline failures and data quality issues.
• Champion simplicity, reliability, manageability, scalability, extensibility, reusability, and performance.
• Continuously identify and address technical debt, making it visible and resolving it proactively.

• Be committed to your professional development, the data products you deliver, and the firm.
• Demonstrated experience with modern Data Lakehouse architectures; hands‑on experience or strong knowledge of Microsoft Fabric, OneLake, and Delta Lake (Parquet) is highly preferred.
• 8–10 years of experience designing and building scalable, data‑centric applications and distributed data systems.
• Proven experience developing secure data pipelines that meet enterprise security standards and participating in financial systems security practices.
• Strong proficiency in Python/PySpark, SQL, and Fabric Data Factory (or Azure Data Factory).
• Nice to have: experience with Azure, AKS, Docker, Kubernetes, and Power BI semantic models.
• Bachelor’s degree in Computer Science or equivalent practical experience.

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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