Data Engineer IV, Data Platforms

University of Central Florida•Orlando, FL

23h

About The Position

The UCF IT department within University Operations is hiring a Data Engineer IV (Data Platforms) to serve as the senior architect and technical lead for UCF’s enterprise data and AI platforms. The role designs and engineers Microsoft Fabric data platform solutions, data models, semantic models, and pipelines that support university analytics. It also administers enterprise AI platforms, including Microsoft Copilot and Google Gemini, and provides technical leadership, standards, and mentoring to the Data Platforms team. The position is a regular appointment with a Monday–Friday, 8:00 AM–5:00 PM schedule. It requires a valid Class E driver’s license and may involve driving to locations on and off campus for University business. Applicants must be authorized to work for any U.S. employer; visa sponsorship and H-1B transfers are not available. UCF expects employees to reside in Florida when employment begins unless the posting explicitly states otherwise.

Requirements

Bachelor’s degree and 5 years of relevant experience; or a high school diploma or equivalent and 9 years of relevant work experience in lieu of a degree; or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6).
Valid Class E driver’s license.
Authorization to work for any U.S. employer; visa sponsorship and H-1B transfers are not available.

Nice To Haves

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.

Responsibilities

Design, build, and maintain Microsoft Fabric and Azure data platform solutions, ensuring scalability, performance, security, and cost efficiency.
Lead modernization of legacy reporting systems and data stores to the enterprise data platform.
Develop and maintain enterprise data models, semantic models, and certified datasets for 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 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.
Provide senior technical leadership through design and code reviews, mentoring, 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.