Principal Software Engineer

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. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 3+ years experience working with distributed systems (including high-performance storage, distributed databases, and networking across global-scale infrastructures) or database engine internals or similar systems programming areas. Design and problem-solving skills, with a deep understanding of system performance, scalability, and engineering best practices. Demonstrated experience in building high-quality, reliable systems at scale. Curiosity-driven mindset with a willingness to challenge assumptions and explore new ideas. Customer-obsessed approach to problem solving, with empathy and a drive to deliver impactful solutions. 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 record of delivering scalable, reliable, and performant systems in production environments.