Data Analytics Architect

Tampa Electric

Tampa (FL)

On-site

USD 120,000 - 160,000

Full time

3 days ago

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Benefits offered by this job

401k Savings plan w/ company matching

Pension plan

Paid time off

Medical coverage

Job summary

Tampa Electric Company is seeking a Data Analytics Architect to lead the design of our analytics backbone, including data models, data movement, and governance. You will shape the federation of in-house data structures with vendor solutions and ensure high-quality data for analytics across the organization.

Role requires hands-on experience with SAP, Azure, and modern data tooling, plus the ability to translate complex tech into actionable business insights.

Qualifications

Bachelor’s degree in Information/Computer Science or related field.
7 years of direct work experience in data architecture and ETL.
Hands-on with SAP BW4/HANA, SAP HANA, SQL Server, Oracle, Azure, Power BI.
Preferred: Gas or Electric utility industry experience.
Strong ability to translate complex concepts to non-technical stakeholders.

Responsibilities

Define and evolve data architecture to support reporting, dashboards and analytics.
Establish source data analysis, ETL design and data federation practices.
Guide data analysts and ETL developers on data models and structures.
Ensure data security, metadata management and data quality standards.
Oversee QA, testing, and peer reviews of data models and ETL apps.
Provide SME guidance to BIA initiatives and cross-team collaborations.
Maintain operations and optimize ETL performance with DBAs and IT teams.

Skills

SAP BW4/HANA

HANA Enterprise

SQL Server

Oracle

Microsoft Azure

Power BI

Databricks

DBT

Data Modeling

Data Architecture

Education

Bachelor’s degree in IT/CS

Professional certification preferred

Tools

Snowflake

Databricks

DBT

ETL tooling

Job description

Title:

Data Analytics Architect

Company:

Tampa Electric Company

Location:

Midtown East Tower

State and City:

Florida - Tampa

Shift:

8 Hr. X 5 Days

Recruiter:

Mark Koener

Performance Coach:

Manager, Business Intelligence and Analytics

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 Architects responsible for the “back end” components of the organizations 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 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 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 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.

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 provide 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 preferred in addition to the requirements above.

Direct Experience

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

Supervisory Experience

NONE

Required Knowledge/Skills/Abilities (KSA)

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 (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

TECO offers a competitive Benefits package!!