Data Analytics Architect

At Tampa Electric, dependable electricity starts with dedicated individuals whose talent, skill and passion drive our success. We’ve been lighting the way for West Central Florida for more than 125 years—and we’re just getting started.

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We proudly deliver 99.98% electric service reliability to nearly 860,000 customers across 2,000 square miles of Hillsborough County and parts of Polk, Pasco and Pinellas counties. Through innovation and strategic investments, we’re creating a cleaner, brighter energy future—while delivering exceptional service every step of the way.

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Title: Data Analytics Architect
Company: Tampa Electric Company
Location: Midtown East Tower
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days

• Build Data and Analytics Architecture
• Build/Develop Data Strategy, Data Pipeline System Optimization and Security
• Technical Proficiency in Deep knowledge in relational databases, Data warehousing technologies snowflakes, Databricks and data modeling tools like DBT
• Strong ability to translate complex technical concepts to non-technical stakeholders

The Data and Analytics Architects are responsible for the “back end” components of the organization's BIA environment from standards, architecture, and design perspectives. Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organization's custom-built analytic data structures (e.g., staging areas, data warehouse and data marts) as well as the design of these structures.

Responsible for the strategy and design related to the ‘federation’ of custom-built data architecture with vendor provided solutions. Provides technical oversight and assures the quality of the work done by data analysts and data engineers and developers. Serves as a subject matter expert with significant, recent hands‑on experience with a state‑of‑the‑art data integration and cleansing tools available in the SAP and Azure platforms etc.

Responsible for assuring that data integration and cleansing tool suites are effectively deployed and applications are developed based on industry and vendor‑specified best practices. Responsibility for ensuring that the organization’s analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management.