Tampa Electric Company
Data Architect, Data Modeling & Integration Design Focus
Tampa Electric Company, Tampa, Florida, us, 33646
Title
Data Architect, Data Modeling & Integration Design Focus Company
Tampa Electric Company Location
Midtown East Tower, Tampa, Florida Shift
8 Hr. X 5 Days Position Concept
The Data Architects responsible for the "back end" components of the organizations Data Analytics 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 organizations 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 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 organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management. Focus Areas
Advanced Data Modeling and Database Design Cloud Data Platform Expertise Data Governance, Security, and Compliance ETL/ELT and Data Integration Design Data Virtualization and Data Mesh Design Build Data Architecture 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‑premises. (25%) 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%) Translate 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 provide coaching and mentoring regarding technical skills and competencies. (15%) Serves as a technical subject matter expert (SME) to provide consultation. (15%) Qualifications
Education:
Bachelor's Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field. Licenses/Certifications:
Preferred: At least one professional certification in specific job‑related disciplines. Direct Experience
Required: 7 years of direct work experience performing the duties & responsibilities of this position. Hands‑on experience with state‑of‑the‑art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. Preferred: Gas or Electric utility experience. Experience working in large public or private‑sector organizations. 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 and in designing and implementing such applications.
Preferred:
Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System) 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 w/ 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 and more!
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Data Architect, Data Modeling & Integration Design Focus Company
Tampa Electric Company Location
Midtown East Tower, Tampa, Florida Shift
8 Hr. X 5 Days Position Concept
The Data Architects responsible for the "back end" components of the organizations Data Analytics 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 organizations 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 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 organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management. Focus Areas
Advanced Data Modeling and Database Design Cloud Data Platform Expertise Data Governance, Security, and Compliance ETL/ELT and Data Integration Design Data Virtualization and Data Mesh Design Build Data Architecture 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‑premises. (25%) 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%) Translate 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 provide coaching and mentoring regarding technical skills and competencies. (15%) Serves as a technical subject matter expert (SME) to provide consultation. (15%) Qualifications
Education:
Bachelor's Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field. Licenses/Certifications:
Preferred: At least one professional certification in specific job‑related disciplines. Direct Experience
Required: 7 years of direct work experience performing the duties & responsibilities of this position. Hands‑on experience with state‑of‑the‑art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. Preferred: Gas or Electric utility experience. Experience working in large public or private‑sector organizations. 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 and in designing and implementing such applications.
Preferred:
Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System) 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 w/ 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 and more!
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