
Power BI Architect
Orlando, FLJobSeen 1 day agoSeen in employer's feed 1 day ago
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Job overview
The Power BI Architect and Semantic Modeling SME will evaluate, design, and optimize enterprise semantic models that support global Power BI analytics. The role advises stakeholders and technical teams on modeling, governance, and architecture, and assesses external and AI-generated models for business accuracy and quality. It also supports Tableau-to-Power BI migration and evaluates Microsoft Fabric or OneLake in a data ecosystem centered on Snowflake.
Skills & qualifications
Skills
Benefits
Full job description
Description
We are seeking a Power BI Architect and Semantic Modeling SME to evaluate, design, and optimize enterprise semantic models, helping establish the reporting architecture and data standards that support global Power BI analytics.
Responsibilities:
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Lead the design, review, and refinement of Power BI semantic models that provide a reliable foundation for enterprise reporting and analytics.
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Examine semantic models produced by external development teams and confirm they meet architectural standards, data quality expectations, and business objectives.
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Assess AI-generated modeling outputs to determine whether they deliver meaningful and accurate business results, not just technically valid structures.
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Advise stakeholders and technical teams on data modeling best practices, governance considerations, and effective architectural options for Power BI environments.
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Serve as a strategic resource for leadership by validating recommendations, challenging assumptions, and offering informed guidance on semantic modeling decisions.
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Identify opportunities to improve large-scale semantic models that support reporting needs across multiple business regions and functions.
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Collaborate with teams involved in the transition from Tableau to Power BI to help align semantic model design with future reporting needs.
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Evaluate how platforms such as Microsoft Fabric or OneLake may support performance, scalability, and integration between Snowflake and Power BI.
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Work within a data ecosystem that consolidates information from multiple enterprise platforms, including Dynamics and internally developed systems, into Snowflake.
Requirements • Strong experience architecting and optimizing semantic layers and data models within Microsoft Power BI environments.
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Proven ability to evaluate complex enterprise reporting models for accuracy, scalability, and alignment with business requirements.
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Hands-on knowledge of Snowflake as a core analytics data platform.
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Familiarity with Tableau and experience supporting or advising on Power BI migration initiatives.
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Understanding of Microsoft Fabric and its potential role in modern analytics architecture.
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Ability to assess technical recommendations critically and communicate clear guidance to leadership and delivery teams.
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Experience working across complex data landscapes that integrate multiple source systems into a unified reporting environment. Technology Doesn't Change the World, People Do.®
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