Principal Software Engineer - Power BI

Microsoft • Redmond, WA

1d

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 business intelligence team builds and maintains Power BI which is the undisputed leader in BI tool in the industry today and serves as the bridge between data professionals & Office users. Power BI’s core value proposition is to enable end users to get answers & insights from their data through data visualization.​
The Power BI Core AI team is looking to hire a Principal Software Engineer, building AI-first capabilities that make enterprise data more accessible, governed, and useful to both human users and AI agents. You will design systems that bridge the gap between how data is stored and how it needs to be understood, transforming complex data assets into intelligent, programmatically consumable experiences. You will build Agentic AI experiences. As part of an agile team, you would work closely with engineers to deliver end-to-end solutions spanning web clients, cloud services, and LLM-based agent integration. Partnering with Applied Science, product management, and UX design, you'll have the opportunity to work across the full product stack and shape how AI transforms enterprise analytics at scale.
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.

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.
• Ability to lead technical strategy across ambiguous AI problem spaces and influence multi team engineering decisions.
• 1+ years of experience working with Large Language Models (LLMs) and Generative AI.
• Expertise building or operating large scale platforms and systems that support AI quality, safety, reliability, or experimentation with observability, diagnosability, and operational excellence for AI driven workloads.
• Experience with distributed systems architecture, multi tenant cloud services, and high availability backend engineering.
• Proven track record mentoring other engineers and raising the technical bar through design leadership, reviews, and hands on guidance.
• Ability to navigate ambiguity, deliver in an agile environment, adopt new technologies, and collaborate effectively across teams.

Responsibilities

• Set technical strategy for large-scale, AI-first services aligning architecture decisions to agent accuracy, enterprise adoption, and customer outcomes.
• Write secure, performant, well-tested code across web clients and service-side components integrating with LLM-based agents; raise engineering standards through design reviews and thoughtful code reviews.
• Lead architecture and design for complex systems spanning semantic abstraction, API surfaces (REST, MCP, SDK), agentic tooling, and self-improving feedback loops. Validate options with specs, prototypes, and data.
• Improve resiliency, security, reliability, latency, and cost using observability and operational practices; act as DRI for key services and drive durable fixes.
• Unblock cross-team dependencies across Power BI, Fabric, Azure AI, and partner teams; manage risks and land integrated, production-ready solutions at scale.
• Mentor and grow other engineers across the organization share best practices in AI-native architecture, distributed systems, and semantic layer design patterns.
• Embody our culture and values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level