Principal Software Engineer

MicrosoftRedmond, WA
2d

About The Position

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 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 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. ​​Within Azure Data, the messaging and real-time analytics team provides comprehensive solutions and a robust platform that enables users to ingest high granularity signals (real-time & observability) and complex data, converting those into a competitive advantage in real-time for both end users and modern applications. ​ ​​The Fabric IQ team is hiring a Principal Software Engineer to lead the design and implementation of the backend data services. Microsoft Fabric IQ is the new semantic intelligence layer that elevates Fabric from a unified data platform to a unified intelligence platform. It turns your unified data estate, already consolidated in OneLake, into a live, structured, connected model of how your business operates. It bridges the gap between where your data lives and how your teams and AI reason, decide, and act. 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. At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

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. 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.

Nice To Haves

  • ​​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.​

Responsibilities

  • ​Architect and build large-scale, multi-tenant data services that handle high throughput and reliability across global regions.
  • Lead technical design reviews and define best practices for scalability, resiliency, cost efficiency, and security.
  • Design core platform components such as metadata management, integration with other Fabric workloads, and data access APIs.
  • Collaborate cross-functionally with product managers, data engineers, and applied ML teams to align platform capabilities with customer needs.
  • Mentor and guide senior engineers on system design, performance optimization, and software craftsmanship.
  • Define patterns for observability, reliability, and automation across the platform stack.
  • Represent engineering in strategic planning, contributing to long-term technical roadmaps and investment areas.
  • Embody our culture and values
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