> Markdown version of [/jobs/ext/3822143-data-engineer-iv-data-platforms](https://www.wearedevelopers.com/jobs/ext/3822143-data-engineer-iv-data-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer IV, Data Platforms - **Company:** UC-FIT, LLC - **Location:** Orlando, FL, United States - **Salary:** $89,076.0 - $111,345.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Cloud Computing, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Stores, Microsoft Copilot, Software Technical Review, Enterprise Data Management, Azure Data Factory, Microsoft Fabric, AI Platforms, Information Technology, Data Management, Google Gemini, Data Pipelines - **Published:** October 18, 2026 - **Apply:** https://www.dice.com/job-detail/ed645036-c4ef-4203-88b4-6bbbe3b4f718 ## About the Role Bachelor's degree and 5 years of relevant experience; or High School Diploma (or equivalent) and 9 years of relevant work experience in lieu of degree, or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6)., * Master's degree in Computer Science, Information Technology, Data Science, Information Systems, Engineering, or a related field. * Experience designing, implementing, and administering enterprise data platforms, particularly Microsoft Fabric and Azure data services. * Experience developing and managing ETL/ELT pipelines, data integrations, data models, and analytics solutions in an enterprise environment. * Experience administering and supporting enterprise AI platforms, such as Microsoft Copilot, Google Gemini, or similar technologies. * Experience providing technical leadership, mentoring engineers, conducting code and design reviews, and resolving complex technical issues. * Experience implementing data governance, security, quality, and architecture standards across enterprise technology environments. * Professional certifications or advanced training in Microsoft Azure, Microsoft Fabric, data engineering, cloud technologies, or artificial intelligence. ## Description The UCF IT department within University Operations is seeking to hire a Data Engineer IV, Data Platforms. The Data Engineer IV (Data Platforms) is the senior architect and technical lead for UCF's enterprise data and AI platforms. The position designs and engineers the Microsoft Fabric data platform, data models, semantic models, and pipelines that enable university analytics, administers enterprise AI platforms including Microsoft Copilot and Google Gemini, and provides technical leadership, standards, and mentoring to the Data Platforms team., * Design, build, and maintain Microsoft Fabric and Azure data platform solutions, ensuring scalability, performance, security, and cost efficiency. * Lead the modernization of legacy reporting systems and data stores to the enterprise data platform. * Develop and maintain enterprise data models, semantic models, and certified datasets that support university reporting and analytics. * Build and maintain ETL/ELT pipelines, dataflows, notebooks, and integrations, including orchestration, monitoring, and data quality processes. * Administer enterprise AI platforms, including Microsoft Copilot and Google Gemini, supporting configuration, licensing, data access, security, and usage monitoring. * Implement approved data and AI standards, policies, and governance practices in collaboration with university stakeholders and governance teams. * Consult with university stakeholders and IT partners to design data and AI solutions, evaluate options, and provide technical recommendations. * Serve as a senior technical lead by conducting design and code reviews, mentoring team members, resolving complex issues, and promoting knowledge sharing and documentation. * Maintain current knowledge of data, analytics, and AI technologies through professional development and training. * Perform other duties as assigned.