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 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.
As a Senior Engineering Manager, you will lead a high-impact team focused on elevating the quality and reliability of Power BI Desktop and Service through robust testing strategies, AI-powered automation frameworks, and modern testing architectures. You will drive the adoption of data-driven quality practices and foster a culture of accountability, care, and continuous improvement across teams in Power BI. In parallel, you will be part of development of secure, scalable engineering systems that enhance productivity and ensure compliance. This includes promoting GenAI integration, secure design principles, and tool innovation to support efficient development workflows. You will foster inclusive collaboration across disciplines and geographies, ensuring alignment on engineering goals and delivery timelines through transparent communication and shared tooling. The role demands metric-based execution and continuous tracking of success indicators to guide team priorities and outcomes.
We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.
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