8+ years of hands-on experience in data architecture or data engineering, including at least 4 years focused on the Microsoft/Azure data ecosystem

3+ years of hands-on experience with Power BI semantic model design, including Tabular models, DAX, and dataset performance tuning
1+ years of hands-on experience with Microsoft Fabric, including OneLake, Fabric capacity management, and migration from Power BI Premium capacity
Experience diagnosing and resolving performance and scalability issues in large, enterprise-scale semantic models, including capacity and query-load analysis
3+ years of experience with the broader Azure data ecosystem (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL)
2+ years of experience acting as a solution architect on client-facing engagements, including reviewing third-party/vendor-built data models and presenting recommendations to executive stakeholders
Azure Solutions Architect Expert, Azure Data Engineer Associate, or Fabric Analytics Engineer Associate) is required
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field

Experience in consulting or other client-facing advisory roles, ideally in an assessment/audit capacity

Experience with Power BI Premium capacity administration and capacity metrics analysis

Experience with Direct Lake mode, Fabric warehouse/lakehouse design, and OneLake shortcuts

Microsoft certifications such as Microsoft Certified: Fabric Analytics Engineer Associate, Azure Data Engineer Associate, or Azure Solutions Architect Expert

Experience evaluating vendor or third-party-delivered BI solutions and documenting findings and remediation plans

Experience presenting technical findings and roadmaps to both large and small audiences, including executive stakeholders

Azure Developer (Power Bi)

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