Principal Software Engineer - Power BI

• 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.

• 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.

Other Requirements:

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., * 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.

#azuredata, #powerbi

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

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