Senior Software Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
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 Microsoft Fabric, the Data Analytics team delivers the core analytics experiences that allow customers to turn data into insight and action. Spanning data engineering, data warehousing, data science, and AI, this team enables end-to-end scenarios on a single, unified platform. By bringing structured, semi-structured, and unstructured data together, the team is advancing our mission to provide a seamless analytics experience that drives real business impact at enterprise scale.

Our team builds and operates core data engineering experiences and platform services that enable customers to develop, execute, monitor, and troubleshoot data and AI workloads at scale. Our portfolio spans Fabric Lakehouse, Notebooks, Spark, monitoring and observability, reliability, and intelligent developer experiences, providing foundational capabilities for customers to build and operate modern data solutions on a unified platform. 

The team is hiring Senior Software Engineer to lead engineering strategy and execution across these experiences and services, drive innovation in AI-powered developer workflows, and deliver highly scalable, reliable, and secure solutions for customers.

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.

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.

• Drive the design and implementation of scalable, reliable, and secure capabilities across Microsoft Fabric data engineering experiences and platform services, including Lakehouse, Notebooks, Spark, and monitoring.
• Provide technical leadership for complex, cross-component initiatives, shaping architecture and engineering strategy across multiple services and teams.
• Lead end-to-end delivery of high-impact projects, from technical design and implementation through production readiness, launch, and ongoing improvement.
• Solve challenging distributed systems and data platform problems at enterprise scale, with a focus on performance, reliability, observability, and operational excellence.
• Collaborate closely with engineering, product, and partner teams to define priorities, influence technical direction, and deliver cohesive customer experiences across Microsoft Fabric.
• Explore and apply AI-powered approaches to improve data engineering and developer experiences, including intelligent assistance, diagnostics, automation, and agentic workflows.
• Embody our culture and values.

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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.

Preferred Qualifications:

• Experience designing, building, and operating large-scale distributed systems, including distributed databases and data processing platforms.
• Familiarity with distributed systems and data processing frameworks such as Apache Spark.
• Experience with AI-assisted software development, coding agents, or agent-based development workflows.
• Experience driving complex technical initiatives across multiple services or engineering teams.
  

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Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.