Enterprise Analytics Data Engineer

Enterprise Analytics Data Engineer Location: Midtown East Tower, Tampa, Florida Shift: 8 Hr. X 5 Days Hiring Manager: Miral Vora Recruiter: Mark Koener Position Concept: The Data Architect will oversee the back‑end components of the Business Intelligence & Analytics (BIA) environment, defining standards, architecture, and design. Responsibilities include implementing and supporting data movement and engineering processes, ensuring data quality, and providing technical oversight to data analysts and developers. Primary Duties and Responsibilities Define and evolve the data architecture to support reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure architecture meets scalability, security, reliability, and flexibility requirements. Establish best practices for source data analysis, ETL design, documentation, and testing; manage data federation across platforms and ensure data masking and tokenization. Translate user requirements into data models and applications, guiding analysts and developers; deploy metadata tools, implement security, and collaborate on release management. Oversee quality of data model and ETL deliverables; establish testing, peer reviews, and QA process. Coach and mentor ETL developers and data analysts, providing technical guidance. Act as a subject‑matter expert and provide consultation for BIA initiatives. Qualifications Education – Required: Bachelor’s degree in Information/Computer Science, Data Management, Business Administration, Engineering, Mathematics or related field. Preferred: At least one professional certification. Direct Experience – Required: 7+ years performing duties related to data architecture and engineering. Hands‑on experience with SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, PowerBI. Preferred Experience – Utility experience (gas or electric), work in large public or private‑sector organizations. Knowledge, Skills, Abilities (KSA) Required: Deep knowledge of SAP and Microsoft Azure suites, ETL design standards, and implementation of data quality tools. Preferred: Knowledge of electric grid solutions, data science fundamentals, AI, blockchain, and emerging regulatory changes. Benefits Competitive salary 401(k) savings plan with company matching Pension plan Paid time off and paid holiday time Medical, prescription drug, and dental coverage Tuition assistance programEmployee assistance program Wellness programs On‑site fitness center Bonus plan Tampa Electric is proud to be an Equal Opportunity Employer. #J-18808-Ljbffr LRP Media Group