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Job Summary:
Tampa Electric Company is seeking a Data Analytics Architect to build and optimize data architecture and strategy. The role involves translating complex technical concepts to non-technical stakeholders and overseeing the implementation of data movement and engineering processes for custom-built analytic data structures.
Responsibilities:
• 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
• 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.
• 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.
• 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.
• 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.).
• Provides technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring to these BIA team members regarding technical skills and competencies.
• Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives.
Qualifications:
Required:
• Bachelor’s degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline.
• 7 years of direct work experience performing the Duties & Responsibilities of this position or performing duties closely related to 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.
• 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:
• At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.
• Gas or Electric utility experience
• Experience working in large public or private-sector organizations
• 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.
Company:
TECO Energy Inc. is an energy-related holding company. Founded in 1899, the company is headquartered in Tampa, USA, with a team of 1001-5000 employees. The company is currently Late Stage.