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Principal Data Engineer

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Microsoft Corporation

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Location:
United States , Redmond

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Contract Type:
Not provided

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Salary:

139900.00 - 274800.00 USD / Year

Job Description:

Microsoft’s Path team helps customers along their journey from the initial idea to the final realization of their goals from Idea-to-Plan-to-Done. We are responsible for collaborative Work Management products including Microsoft Project, Planner, To Do, and Visio. The Principal Data Engineer will operate as a senior technical leader shaping the data & analytics foundations that power Microsoft Path org’s products and platforms at a global scale. The engineer will collaborate with Product, Engineering, and Data Science stakeholders from multiple teams to analyze data requirements, understand the data flow across existing and new products, differentiate human vs. AI Agent generated data, lead the design of data models, and prepare design specifications for building data pipelines. The Data engineer will be responsible for identifying data sources, building code to extract raw data, and transforming it into formats compatible with downstream consumers. The Data Engineer will develop tools, do performance monitoring, and perform root cause analysis of issues to ensure robust and reliable data pipelines. You will define architectural direction, influence multi-team roadmaps, and set data engineering standards that enable reliable, secure, and scalable analytics for AI-driven products. Additionally, the Data Engineer will deeply understand data governance & compliance needs, and partner with Corporate, External, and Legal Affairs (CELA) to ensure compliance with laws and policies throughout the development process across WW, EU, and GOV clouds. The role involves designing data modeling, data handling procedures, data cleansing or abstractions, implementing solutions to minimize points of failure, and ensuring that all aspects of data management adhere to organizational standards and regulatory requirements.

Job Responsibility:

  • Design, implement, monitor, and optimize large-scale, robust data pipelines and architectures that support Microsoft Path products data analytics initiatives.
  • Develop scalable ETL/ELT workflows, ensure reliable ingestion, transformation, and storage of high-volume, high-velocity data from diverse sources with different schemas.
  • Enforce best practices for data quality, lineage, security, and compliance.
  • Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring analytics are accurate and auditable.
  • Work closely with product managers, software engineers, AI researchers, and business stakeholders to build data solutions that accomplish business goals.
  • Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information.
  • Translate ambitious vision into actionable roadmaps and measurable outcomes.
  • Mentor senior data engineers and technical leads, guide complex design decisions, and foster a culture of engineering excellence, operational rigor, and continuous learning across the organization.

Requirements:

  • 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.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have:

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
  • Deep experience architecting and operating large-scale distributed data systems in cloud environments, preferably Azure.
  • Ability to write clean, working code using core algorithms, data structures, and analytics‑oriented problem‑solving.
  • Extensive experience in implementing and optimizing data pipelines and distributed data systems (e.g., Azure Data Lake, Spark, Synapse, SQL databases).
  • Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Expertise with modern data engineering languages and frameworks (e.g., Azure Data Explorer, PySpark, SQL, etc).
  • Experience collaborating in cross-functional teams and building consensus among stakeholders with diverse backgrounds (engineering, analytics, product, business).
  • Track record of driving innovation in data engineering, including experience leading technical projects and mentoring others.

Additional Information:

Job Posted:
February 17, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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