About the job
The BI COE (Business Intelligence Center of Excellence) Platform team designs, engineers, and operates the AMP Data Platform - a centralized, enterprise-scale data platform powering business intelligence, analytics, process automation, and AI solutions across Microsoft. We are on a journey to reinvent data engineering and our data platform for the age of AI — building an AI-native data platform where intelligent agents take on much of the repetitive, time-consuming data engineering work, and engineers lead with intent-first engineering: defining direction, specifications, and judgment while agents help build, test, and validate. This role is central to that shift.
Responsibilities
Help operate one of Microsoft’s largest Microsoft Fabric enterprise platforms.
Enable trusted data products that power analytics, automation, and AI experiences across MCAPS and Finance.
Accelerate Microsoft’s transition toward AI-native engineering through practical adoption of AI-native development practices.
Improve platform scalability, reliability, governance, and performance for over 50,000 monthly users.
Partner with Microsoft Fabric Product Group teams to influence and validate next-generation platform capabilities through Customer Zero adoption.
Enable secure downstream consumption of data products and self-serve analytics - delivering governed, performant semantic models that let business users build their own analytical and AI solutions while preserving performance, security, and compliance.
Build AI agents and AI solutions that automate repetitive, tedious data engineering and analytical tasks - freeing engineers to lead with intent-first design and accelerating the journey to AI-native data engineering.
Qualifications
Minimum
Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.
Preferred
Experience using AI-native engineering tools such as GitHub Copilot, Copilot for Fabric, Azure OpenAI, or similar technologies.
Experience building AI-ready data architectures and preparing trusted data assets for AI consumption.
Understanding of AI agents, vector search, and semantic search, and modern AI application patterns, including prompt engineering, evaluation, and guardrails.
Experience leveraging AI to accelerate software development, testing, documentation, code review, performance optimization, and operational efficiency.
Familiarity with Responsible AI principles, AI governance, and the secure use of generative AI technologies.
Experience integrating AI capabilities into analytics, reporting, automation, or business-process solutions.
Experience across Microsoft Fabric workloads - Lakehouse, Warehouse, Semantic Models, OneLake, Data Factory, and Real-Time Intelligence.
Experience supporting enterprise Power BI solutions, DAX optimization, and semantic modeling best practices.
Experience implementing data governance and metadata management solutions.
Hands-on experience with Microsoft Purview - cataloging, lineage, classification, and information protection.
Experience working on customer-facing platforms or large-scale enterprise solutions.