> Markdown version of [/jobs/ext/3374128-enterprise-data-bi-architect-ii](https://www.wearedevelopers.com/jobs/ext/3374128-enterprise-data-bi-architect-ii). 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). --- # Enterprise Data & BI Architect II - **Company:** University of Central Florida - **Location:** Orlando, FL, United States - **Experience:** Experienced - **Salary:** $87,500.0 - $95,000.0 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Profiling, Data Security, Data Warehousing, Python (Programming Language), Meta-Data Management, Performance Tuning, Power BI, SQL Databases, Technical Data Management Systems, Strategies of Testing, Enterprise Data Management, Data Layers, Microsoft Fabric, Pyspark, Data Lineage, Data Analytics, Data Management, Data Pipelines - **Published:** September 16, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18340978?backUrl=%2Fcareer%2F18340978%2FEnterprise-Data-Bi-Architect-Ii-Florida-Orlando ## About the Role Bachelor's or Master's degree and 2+ years of relevant experience; or an equivalent combination of education and experience pursuant to Fla. Stat. 112.219(6)., * 2+ years of experience as a data architect or data engineer, preferably within enterprise cloud environments. * Experience with modern cloud data platforms, especially Microsoft Azure, AWS, or other enterprise cloud environments. * Handson experience with Microsoft Fabric and/or Power BI in an enterprise analytics environment; Fabric experience is strongly preferred. * Strong command of SQL, Python/PySpark, and DAX for querying, modeling, and validating complex datasets. * Demonstrated experience designing and delivering data analytics or BI solutions, including data pipelines, semantic models, and dimensional data structures. * Experience working in higher education is highly desirable. * Certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-700). The most successful candidates may possess the following qualities: * Excellent communicator with the ability to collaborate effectively with technical and nontechnical stakeholders, including consultants and internal partners. * Proactive, selfdirected contributor who can take initiative in a fastmoving project environment. * Strong attention to detail and accuracy, with the ability to validate complex datasets and ensure highquality, consistent outputs across analytics and documentation., * All applicants must be authorized to work for any U.S. employer. Visa sponsorship is not available for this position, and the university cannot accommodate H1B transfers or employment-based visa processing for individuals currently sponsored by another employer. ## Description UCF's Analytics & Integrated Planning (AIP) team is hiring an Enterprise Data & BI Architect II to design the data and analytics in support of the Office of Research Vienna Project. This position is responsible for designing, developing, and supporting enterprise analytics and data engineering solutions that enable institutional and departmental reporting, analysis, and decisionmaking across the university. This is a visiting and renewable position. Visiting positions are based on circumstances, such as funding sources, which control the length of time for which the position is available. Visiting positions are renewable for up to four years. This project is estimated to last two years. Responsibilities: Data Engineering and Analytics Development: * Designs, develops, and implements scalable data pipelines and analytics solutions using Microsoft Azure and Microsoft Fabric platforms. * Builds, optimizes, and maintains data models utilizing relational, dimensional, and star schemas to support reporting, analytics, and semantic layers. * Develops and optimizes SQL queries and transformation logic to support ETL and ELT processes across multiple data sources. Platform Support and Standards Adherence: * Supports and maintains Microsoft Fabric environments, including workspace organization, access configurations, and deployment practices across development, test, and production environments. * Implements and follows established analytics standards, development best practices, and architectural guidelines to ensure consistency and maintainability. * Works closely with architects and other engineers to align solutions with institutional platform standards. Performance Optimization and Troubleshooting: * Monitors and tunes performance of data pipelines, models, and analytics workloads to ensure reliability and efficiency. * Troubleshoots and resolves data pipeline failures, data model issues, and integration problems to maintain platform stability and data reliability. * Provides datarelated technical support and troubleshooting for userreported issues. Data Quality and Compliance: * Performs data profiling, validation, and data quality assessments to ensure accuracy, consistency, and adherence to business rules and compliance with UCF data policies. * Supports performance tuning, metadata management, data lineage, data security, and governance controls across analytics platforms. * Contributes to metadata documentation, data lineage artifacts, and governance. Business Collaboration and Solution Delivery: * Collaborates with business stakeholders to gather, define, document, and refine requirements for analytics and business intelligence solutions. * Translates business requirements into technical data solutions, including semantic models and reporting datasets. * Develops and executes testing strategies and validation criteria to ensure data accuracy and functional correctness of deliverables. Documentation and Project Support: * Supports analytics projects through task estimation, development activities, and milestone tracking. * Creates and maintains technical documentation, including data flow diagrams, transformation logic, and operational runbooks.