What You’ll Be Doing
Own and evolve our Microsoft Fabric architecture, including medallion architecture (bronze/silver/gold layers), data pipelines, mirrored/non-mirrored databases
Bring expert-level knowledge of Power BI development, data modeling, and reporting standards
Help shape our AI roadmap by designing data architecture (semantic layers, medallion structure) that's ready to support future AI use cases
Partner with DBA, DevOps, and application teams to design scalable, production-ready data solutions
Bring a working understanding of SQL Server performance monitoring — how to interpret database logs, identify performance issues, and support high-availability, 24/7 production environments
Support API integrations for data access and exchange across systems
Design and maintain observability practices across the data platform — including semantic models, pipelines, warehouses, and SQL endpoints — using tools like Azure Log Analytics and KQL
Evaluate and recommend tools, patterns, and standards as we mature from report development toward a broader data + AI platform strategy
Contribute to technical de
What We’re Looking For
Senior-level experience in data solution design — schema design, system integration, scalability planning — with hands-on Microsoft Fabric and/or Power BI expertise
Experience designing data architectures (semantic layers, medallion structure) that are AI-ready; familiarity with Azure AI Foundry a plus
Strong SQL skills and experience with data pipeline design/optimization, with working knowledge of SQL Server performance monitoring concepts
Experience with medallion architecture and cloud data warehousing patterns
Hands-on experience with Fabric Data pipelines or similar pipeline/orchestration tools
Experience with API-based data integration
Solid understanding of the broader Azure ecosystem and its data-related services — App Services, VMs, Blob Storage, Log Analytics, networking basics
Python, Fabric notebooks/Spark, or exposure to MLflow/model registry concepts, and familiarity with Fabric's AI-adjacent capabilities
General exposure to or interest in AI-adjacent data patterns — e.g., natural-language-to-data querying or general familiarity with how AI grounding over data works conceptually
Working knowledge of PowerShell and/or Azure DevOps (ADO) dashboards/pipelines
What Will Make You Stand Out
Familiarity with Power BI Embedded or similar embedding frameworks
Hands-on experience with Azure AI Foundry, Azure OpenAI, or emerging analytics patterns (real-time/streaming, natural-language-to-data querying)
Familiarity with RAG, vector/embeddings concepts, AI agents, or responsible AI/governance principles
Experience with statistical analysis, forecasting, or health-related analytics, especially in partnership with data scientists or product teams
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute


