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# Power BI Architect

- **Company:** Robert Half
- **Location:** Lockhart, FL, United States
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Power BI, Tableau (Software), Snowflake, Data Layers, Microsoft Fabric, Semantic Modeling
- **Published:** October 21, 2026
- **Apply:** https://www.dice.com/job-detail/2ae4d923-f8e0-4c47-aa0f-7c9616555f03

## About the Role

Strong experience architecting and optimizing semantic layers and data models within Microsoft Power BI environments.
Proven ability to evaluate complex enterprise reporting models for accuracy, scalability, and alignment with business requirements.
Hands-on knowledge of Snowflake as a core analytics data platform.
Familiarity with Tableau and experience supporting or advising on Power BI migration initiatives.
Understanding of Microsoft Fabric and its potential role in modern analytics architecture.
Ability to assess technical recommendations critically and communicate clear guidance to leadership and delivery teams.
Experience working across complex data landscapes that integrate multiple source systems into a unified reporting environment., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## 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:

Lead the design, review, and refinement of Power BI semantic models that provide a reliable foundation for enterprise reporting and analytics.

Examine semantic models produced by external development teams and confirm they meet architectural standards, data quality expectations, and business objectives.

Assess AI-generated modeling outputs to determine whether they deliver meaningful and accurate business results, not just technically valid structures.

Advise stakeholders and technical teams on data modeling best practices, governance considerations, and effective architectural options for Power BI environments.

Serve as a strategic resource for leadership by validating recommendations, challenging assumptions, and offering informed guidance on semantic modeling decisions.

Identify opportunities to improve large-scale semantic models that support reporting needs across multiple business regions and functions.

Collaborate with teams involved in the transition from Tableau to Power BI to help align semantic model design with future reporting needs.

Evaluate how platforms such as Microsoft Fabric or OneLake may support performance, scalability, and integration between Snowflake and Power BI.