Enterprise Analytics Data Engineer
Tampa Electric Company
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Benefits offered by this job
Job summary
Tampa Electric Company is seeking an Enterprise Analytics Data Engineer to oversee the implementation of data architecture and engineering processes for analytic structures. The ideal candidate will have significant experience with data integration tools and cloud technologies, ensuring quality and scalability in the data operations.
The candidate should possess deep knowledge of platforms like SAP and Azure, along with strong SQL and Python skills. The position comes with competitive benefits including a 401(k) savings plan and medical coverage.
Qualifications
- 7 years of direct work experience in a similar role.
- Hands-on experience with state-of-the-art platforms.
- At least one professional certification preferred.
Responsibilities
- Define the data architecture based on enterprise standards.
- Establish best practices for ETL design and documentation.
- Translate user requirements into data models and applications.
- Ensure the quality of data model and ETL application deliverables.
- Provide technical oversight and mentoring to team members.
- Serve as a subject matter expert for BIA initiatives.
Skills
Education
Tools
Job description
Title: Enterprise Analytics Data Engineer
Company: Tampa Electric Company
Location: Midtown East Tower, Tampa, Florida
Shift: 8 Hr. X 5 Days
Recruiter: Mark Koener
Data Architects responsible for the "back end" components of the 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 (staging areas, data warehouse and data marts) as well as the design of these structures. Responsible for strategy and design related to federation of custom‑built data architecture with vendor‑provided solutions. Provides technical oversight and assures quality of work done by data analysts and data engineers and developers. Serves 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. 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 the organization’s analytic data architecture effectively enables needed applications and develops standards in data modeling, metadata management, data integration and master data management.
- Expert‑level SQL, Python, and ETL/ELT pipeline design using tools like dbt, Fivetran, and Airbyte. Proficient in both batch and streaming architectures to support high‑volume enterprise workloads.
- Hands‑on experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and lakehouse platforms such as Databricks and Delta Lake. Ability to build and maintain scalable, cost‑optimized infrastructure using Terraform or equivalent IaC tooling.
- Strong foundation in dimensional modeling, star schema design, and slowly changing dimensions. Experience implementing enterprise‑grade semantic layers and dbt best practices across staging, marts, and reusable macros.
- Proficient in workflow orchestration tools (Airflow, Prefect, or Dagster) with experience building CI/CD pipelines for data products. Comfortable with containerization (Docker, Kubernetes) and managing SLA‑driven production environments.
- 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%)
Key Internal: stakeholders of the BIA Solution.
Key External: SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.
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.
Required: 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.
Preferred: Gas or Electric utility experience; experience working in large public or private‑sector organizations.
NONE
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.), Blockchain, etc.
- Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.
- Competitive Salary
- 401(k) Savings plan with company matching
- Pension plan
- Paid time off
- Paid holiday time
- Medical, prescription drug, and dental coverage
- Tuition assistance program
- Employee assistance program
- Wellness programs
- On‑site fitness centers
- Bonus plan and more
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