Enterprise Analytics Data Engineer

Title: Enterprise Analytics Data Engineer

Company: Tampa Electric Company

Location: Midtown East Tower, Florida - Tampa

Shift: 8 Hr. X 5 Days

Hiring Manager: Miral Vora

Recruiter: Mark Koener

The Data Architect is responsible for the “back end” components of the organization’s BIA environment from standards, architecture, and design perspectives. This role includes 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, such as staging areas, data warehouses and data marts, as well as the design of these structures.

The architect will develop strategy and design for integrating custom-built data architecture with vendor-provided solutions, provide technical oversight, and ensure quality of work performed by data analysts and engineers. They are a subject‑matter expert with recent experience with state‑of‑the‑art data integration and cleansing tools available in the SAP and Azure platforms and related best practices. The role also ensures that the analytic data architecture supports applications and establishes standards in data modeling, metadata management, data integration, and master data management.

• Expert‑level SQL, Python, and ETL/ELT pipeline design using tools such as 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, Big Query, 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.
• Proficiency with workflow orchestration tools (Airflow, Prefect, or Dagster) and 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 appropriate deployment environment, whether cloud‑based or on‑premise. (25%)
• The Data Architect establishes best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement, ETL testing and release management, database‑level security, and data masking, anonymization, and tokenization. (15%)
• The Data Architect translates user requirements into data models and supporting applications, guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. They deploy metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implement security for data integration and cleansing tools; collaborate on support environments and release management best practices;
  
  oversee the operational environment; and work with DBAs and operations teams to monitor and optimize ETL and data structure performance. (15%)
• Accountable for quality of data model and ETL application deliverables and responsible for establishing and managing QA‐related functions, including testing (unit, system, stress, etc.) and peer reviews of data models and ETL application designs. (15%)
• Provides technical oversight of ETL developers and data analysts and mentors 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%)

None

Key Internal:
Stakeholders of the BIA Solution.

Key External: SAP, Microsoft, Oracle, Consultants (System…