The Principal Software Engineer role in the Fabric Data Warehouse Distributed Query Processing team at Microsoft focuses on defining the long-term technical vision and architecture for the DQP platform. This position involves driving the strategy and evolution of core query processing technologies, particularly in Autonomous Workload Management. The ideal candidate will leverage their deep systems expertise to influence across organizational boundaries and mentor engineers. The role is pivotal in shaping the future of query processing within Microsoft Fabric to meet the demands of data and AI workloads.

• Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• Ability to meet Microsoft, customer and/or government security screening requirements.

• Define and drive the long-term technical vision and architecture for the Fabric Data Warehouse Distributed Query Processing platform.
• Lead the design and evolution of core query processing technologies, including distributed execution and performance optimization.
• Partner closely with engineering, product management, design, data science, and partner teams to deliver end-to-end solutions.
• Identify and solve fundamental distributed systems problems involving scale, concurrency, and fault tolerance.
• Establish architectural standards and engineering best practices through design reviews and technical mentoring.
• Influence the long-term platform strategy for personalized and collaborative analytics experiences.
• Mentor and develop senior engineers and technical leaders, fostering a culture of innovation.
• Lead complex cross-organizational initiatives to deliver strategic capabilities for the Microsoft Fabric analytics platform.
• Champion the use of AI-driven development practices to improve engineering productivity and operational efficiency.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.