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 seeking to hire a Senior Software Engineer. We are 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 in 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.

We are the Analysis Services (AS) Engine team, the core data processing engine powering Power BI and other Microsoft BI systems. Our engine is central to delivering fast, scalable, and intelligent analytics experiences across Microsoft’s data platform.
 
As the adoption of Power BI continues to grow, the AS engine is evolving to meet new performance, scalability, and integration demands. Our team is responsible for both the engine itself and the components that integrate it into cloud-scale services.
 
We’re a collaborative, high-impact team where engineers have the opportunity to work across the full stack – from engine internals and query processing to service infrastructure, cloud scalability, and reliability. We foster a culture of transparency, continuous feedback, and shared ownership. If you're passionate about building world-class analytics systems and thrive in a supportive, fast-paced environment, we’d love to meet you.
 
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. 

• Lead the design and architecture of key features in the Analysis Services (AS) engine and its integration with Power BI and Azure Analysis Services. 
• Drive end-to-end project execution—from technical planning and cross-team coordination to delivery and quality assurance. 
• Collaborate closely with product management and partner teams to align technical direction with business goals. 
• Mentor and guide engineers across the team, fostering technical growth and a culture of excellence. 
• Contribute to the evolution of our cloud-scale analytics platform, with a focus on performance, scalability, and reliability. 
• Champion engineering best practices, including code quality, testing, observability, and operational readiness. 
• Actively participate in design reviews, code reviews, and technical deep dives across the stack.
• 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:

• Deep understanding of distributed systems, including high-performance storage, distributed databases, and networking across global-scale infrastructures. 
• Experience with database internals such as indexing (e.g., B+ trees), query optimization, and execution engines. 
• Familiarity with compiler internals or query compilers (e.g., MySQL/PostgreSQL, C++, .NET) and their application in large-scale data systems. 
• Proven ability to lead complex technical initiatives that span multiple teams and disciplines. 
• Track reco