Job Description
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. Within Azure Data, the business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization. Within this organization, the Analysis Services Engine (AS) team builds and evolves the analytical database engine that is the core foundation behind the Power BI Semantic Models aka Datasets as well as SQL Server Analysis Services (SSAS) and Azure Analysis Services (AAS). Power BI continues to grow rapidly as one of the world’s leading analytical SaaS platforms. SSAS remains a key pillar of the multi-billion-dollar SQL Server product line, while AAS stands out as one of the fastest-growing services in the Azure ecosystem. Together, these platforms enable lightning-fast, enterprise-grade analytics at global scale, empowering organizations everywhere to turn data into decisions. As adoption of the Analysis Services Engine expands across these products, our team is poised for an exciting and impactful future. As a Senior Software Engineer, you will play a critical role in advancing the quality and reliability of Analysis Services (AS). You will be responsible for ensuring high quality and compliant release of AS in these release vehicles by designing and implementing scalable testing strategies, enhancing existing testing frameworks, enabling AI-powered automation, and modernizing engineering systems. You will work on making the engineering systems workflows secure and compliant, and to improve engineering efficiency using GenAI and other methods. Working closely with cross-functional teams across geographies, you will ensure alignment on goals, quality standards, and delivery timelines. This role emphasizes metric-driven execution, continuous learning, and innovation in automation and observability.
