New 
Senior Data Engineer
 Microsoft | |
 United States, Washington, Redmond | |
 Oct 24, 2025 | |
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OverviewThe M365 Copilot App Platform team delivers the foundational platform that powers the Microsoft 365 Copilot app. We provide the core platform APIs, deployment pipelines, telemetry instrumentation, and infrastructure that enable Copilot experiences across web, Windows, and Mac. Our responsibilities span:Application and Platform Ownership: From the app code to backend web servers and middle-tier services.Partner Enablement: All AI-enabled experiences from partner teams are built on our platform, making us critical to their success.Data and Insights: We manage the data pipeline that supports business insights and operational excellence.End-to-End Delivery: From platform APIs and infrastructure to deployment and monitoring, ensuring reliability and scalability.Our mission is to empower every Copilot experience by providing a robust, secure, and scalable platform that accelerates innovation across Microsoft 365.As a Senior Data Engineer in the M365 Copilot App Platform team, you will design, build, and optimize scalable data pipelines and platforms that power advanced analytics and AI solutions. You will work closely with software engineers, data scientists, and product teams to ensure reliable, secure, and high-performance data systems that enable innovation across Microsoft's Copilot ecosystem. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesData Architecture & Pipeline DevelopmentDesign and implement robust ETL/ELT workflows for structured and unstructured data using modern data engineering frameworks.Scalable Data Solutions:Build distributed data processing systems leveraging technologies such as Spark, Azure Data Lake, and Synapse.Data Quality & Governance:Establish standards for data integrity, lineage, and compliance with enterprise security and privacy policies.Performance Optimization:Monitor and tune data pipelines for efficiency, scalability, and cost optimization.Data Visualization & Low-Code Solutions:Develop and maintain low/no-code dashboards and data-driven apps (e.g., Power BI, Vibe-coded apps) to enable self-service analytics for stakeholders.Experimentation Infrastructure Support:Help maintain and enhance experiment platforms, including Cosmos streams and VC(s), ensuring reliability and scalability for A/B testing and feature experimentation.Collaboration & Mentorship:Partner with cross-functional teams to integrate data solutions into AI products and mentor team members/engineers on best practices.Innovation & Continuous Improvement:Evaluate emerging technologies and contribute to architectural decisions for next-generation data platforms. | |