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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products in our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. The Fabric Spark team is hiring a Principal Product Manager to drive the delivery of a best‑in‑class developer experience in the age of AI. As part of the Data Engineering developer experience team within Microsoft Fabric, this role helps power large‑scale analytics, AI, and real‑time workloads on a fully managed SaaS data platform. The team’s mission is to enable data engineers and pro-developers to build and operate Apache Spark workloads that are production‑grade, high‑performance, secure, and deeply integrated across the Fabric ecosystem with AI‑powered tools—while eliminating operational complexity for customers.
Job Responsibility:
Own the end‑to‑end developer experience across notebooks, APIs, and AI‑assisted tooling (including MCP and CI/CD), enabling data engineers and professional developers to reliably build, scale, and operate Apache Spark workloads on Microsoft Fabric in the age of AI
Translate customer, partner, and field insights into clear product priorities that measurably improve usability, productivity, and operational readiness
Partner closely with engineering and partner teams to shape production‑grade Spark capabilities, including performance, reliability, security, and deep integration across the Microsoft Fabric ecosystem
Advance AI‑assisted developer workflows for data engineering, including Copilot‑powered experiences, that reduce friction and eliminate operational complexity in real‑world Spark workloads
Represent the Spark developer experience in cross‑team and platform‑level decision making, aligning stakeholders across Azure Data, Fabric, and Real‑Time Intelligence to deliver cohesive outcomes at scale
Embody Microsoft’s culture and values by operating with a growth mindset, customer obsession, accountability, and inclusive collaboration—driving impact through influence rather than people management
Requirements:
Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
4+ years experience with Data Engineering in Cloud
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Nice to have:
Bachelor's Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience
4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
6+ years experience driving developer tools and deep understanding of GIT and DevOps pipelines for CI/CD