Data Analytics Architect

POWER UP A CAREER WITH US Our people power everything we do. 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. Join us and build a rewarding career with competitive pay, comprehensive benefits and a culture that supports your growth. Your potential finds its purpose at Tampa Electric. 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. We reflect the communities we serve and foster a workplace where every employee feels welcomed, valued and engaged. Join our team of energy experts and help shape the future of power. Storm Duty Requirements Tampa Electric and its sister companies serve a role in providing critical services to our community during an emergency. Team members are required to participate in the response/recovery activities related to emergencies/disasters to maintain service to our Tampa Electric customers. Team members are required to work in their normal job duties or other assigned activities. Proper compensation will be made in accordance with the company's rules and procedures. Responding to storms will be considered a condition of employment. Tampa Electric is proud to be an Equal Opportunity Employer. Title and Details Title: Data Analytics Architect Company: Tampa Electric Company Location: Midtown East Tower, Tampa, Florida Shift: 8 Hr. X 5 Days Hiring Manager: Miral M Vora Recruiter: Mark E Koener Department: Information Technologies/Advanced Digital Solutions PRIMARY FOCUS AREAS 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 POSITION CONCEPT The Data and Analytics Architect is 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. Serve 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. PRIMARY DUTIES AND RESPONSIBILITIES Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility. Determine the appropriate deployment environment, whether cloud‑based or on‑premise. (25%) The Data Architect, in alignment with enterprise standards, is responsible for establishing best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database‑level security (with DBAs), and data masking, anonymization, and tokenization. (15%) The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools; collaborating on support environments and release management best practices; overseeing the operational environment; and working with DBAs and operations teams to monitor and optimize ETL and data structure performance. (15%) Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including: testing (unit, system, stress, etc.) and peer reviews (e.g., reviews of data models, ETL application design, etc.). (15%) Provides technical oversight of the activities of ETL developers and data analysts and provides coaching and mentoring to these BIA team members regarding technical skills and competencies. (15%) Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives. (15%) SUPERVISION None. RELATIONSHIPS Key Internal: Stakeholders of the BIA Solution. Key External: SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors. QUALIFICATIONS Education Required: Bachelor’s degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline. Preferred: At least one professional certification in specific job‑related disciplines. Direct Experience Required: 7 years of direct work experience performing duties of this position or closely related duties. Hands‑on experience with state‑of‑the‑art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. Preferred Experience Gas or Electric utility experience. Experience working in large public or private‑sector organizations. Supervisory Experience None. Knowledge/Skills/Abilities (KSA) Required Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment. Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications. Preferred Demonstrated knowledge of Electric Grid Solutions such as ADMS, EMS, AMI/MDM, Intergraph GIS. Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc. Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company. Benefits Competitive Salary 401k Savings plan with company matching Pension plan Paid time off Paid Holiday time Medical, Prescription Drug, & Dental Coverage Tuition Assistance Program Employee Assistance Program Wellness Programs On‑site Fitness Centers Bonus Plan #J-18808-Ljbffr