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Microsoft Corporation Logo Microsoft Corporation · Research and Development

Principal Researcher - Data Systems

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted March 20, 2026
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Job Description

We seek a Principal Researcher with expertise in query execution, data storage, resource management for serverless cloud platforms, data discovery, and data preparation techniques. Candidates with experience in leveraging novel hardware, Artificial Intelligence (AI), and Machine Learning (ML) for data management challenges are of special interest to us. Our past research has been incorporated into Microsoft’s products and services such as SQL Server, Azure SQL Database, Power BI, Excel, and Dynamics 365. We have had influential publications at top conferences such as ACM SIGMOD, VLDB, and IEEE ICDE including several best paper awards and test-of-time awards.

Job Responsibility

  • Pursue high-ambition research on data systems in collaboration with other members of the research lab
  • Build and deploy novel systems
  • Contribute significant innovations to Microsoft’s products and services
  • Publish papers on significant research results
  • Embody our culture and values

Requirements

  • Doctorate in Computer Science, Computer Engineering, or relevant field AND 3+ years related research experience OR equivalent experience
  • A track record of research accomplishments, e.g., major conference publications (ACM SIGMOD, VLDB)
  • Expertise in query execution, data storage, resource management for serverless cloud platforms, data discovery, and data preparation techniques
  • Experience in leveraging novel hardware, Artificial Intelligence (AI), and Machine Learning (ML) for data management challenges

Nice to have

  • Doctorate in relevant field AND 5+ years related research experience OR equivalent experience
  • Experience publishing academic papers as a lead author or essential contributor
  • Appetite for undertaking ambitious research challenges
  • Familiarity with traditional SQL or big data systems cloud platforms
  • Expertise in key components of data systems, e.g., distributed query execution, resource management for cloud platforms, low-code data transformations
  • In-depth knowledge of modern hardware
  • Experience with applying AI and Machine Learning techniques for challenges in data systems
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