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.

As a Senior Software Engineer, you will play a critical role in advancing the quality and reliability of Power BI Desktop and Service. You will design and implement scalable testing strategies, AI-powered automation, and modern engineering systems that drive product excellence. You'll contribute to secure and compliant development workflows, integrating GenAI and telemetry to improve engineering efficiency. Working closely with cross-functional teams across geographies, you'll ensure alignment on goals, quality standards, and delivery timelines. This role emphasizes metric-driven execution, continuous learning, and innovation in automation and observability.

Responsibilities

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Lead the design and implement robust testing strategies and automation frameworks to ensure high-quality weekly releases for Power BI Service and monthly releases for Power BI Desktop Lead the development of secure, scalable engineering systems that enhance productivity and support compliance Mentor and support team members, providing technical guidance, fostering growth, and promoting a culture of learning and accountability Integrate GenAI and modern testing architectures to improve test coverage, reliability, and efficiency Collaborate across disciplines and geographies to align on engineering goals, quality standards, and delivery timelines Drive metric-based execution and continuous tracking of success indicators to inform priorities and outcomes

Qualifications

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Required Qualifications

Bachelor's degree in Computer Science or related technical field and 8+ years of technical engineering experience with coding in languages including, but not limited to, C#, Java, TypeScript, JavaScript, or Python 2+ years experience with testing frameworks OR engineering systems Proven ability to communicate and collaborate effectively across disciplines and global teams Willingness to accommodate meetings and collaboration across Pacific Time zone working hours

Additional Qualifications

Experience with Power BI or other business intelligence technologies Experience with PowerShell, Azure DevOps (ADO), GitHub, Kusto Passion for driving quality and engineering efficiency through data-driven insights, GenAI integration, and automation strategies

Other Requirements

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.

Equal Opportunity Employer (EOP)

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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.