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Data Analytics Architect Jobs (NOW HIRING)

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 TITLE: Data & Analytics Architect ...

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 TITLE: Data & Analytics Architect ...

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 ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The ...

The Data Analytics Architect leads the design, integration, and governance of data systems that enable advanced analytics, operational insights, and decision support for a government UAS/C-UAS ...

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

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How much do data analytics architect jobs pay per year?

As of Jun 8, 2026, the average yearly pay for data analytics architect in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What are the typical career advancement opportunities for a Data Analytics Architect?

Data Analytics Architects often find excellent career growth opportunities within organizations, as their expertise in designing data frameworks is highly valued. With experience, many progress to senior or principal architect roles, chief data officer positions, or transition into broader leadership roles in data engineering or analytics strategy. Continuous learning and staying updated with emerging technologies, such as machine learning platforms and cloud-based analytics, also open doors to specialized roles. Working in this position exposes professionals to both technical challenges and business strategy, setting a strong foundation for advancement.

What are the key skills and qualifications needed to thrive in the Data Analytics Architect position, and why are they important?

A Data Analytics Architect requires strong expertise in data modeling, analytics platforms, and database management, often backed by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud services (AWS, Azure, Google Cloud), along with certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is highly beneficial. Excellent problem-solving skills, communication abilities, and the capacity to collaborate across multidisciplinary teams distinguish top performers. These competencies are vital for designing effective analytics solutions, ensuring data integrity, and translating business needs into actionable data strategies.

What is a Data Analytics Architect job?

A Data Analytics Architect designs and implements data infrastructure, ensuring efficient data processing, storage, and analysis to support business intelligence and decision-making. They work with data engineers, analysts, and stakeholders to create scalable data solutions and optimize system performance. Their role involves selecting technologies, defining data models, and ensuring data security and governance.

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Infographic showing various Data Analytics Architect job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 84% Full Time, 8% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Data Analytics Architect

Data Analytics Architect

TECO

Tampa, FL

Other

Medical, Dental, Retirement, PTO

Posted 14 days ago


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 

TITLE:    Data & Analytics Architect
PERFORMANCE COACH:     Manager, Business Intelligence and Analytics 
COMPANY:    Tampa Electric Company
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

1.    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%

2.    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%

3.    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%

4.    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%
5.    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%
6.    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
    

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 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.

TECO offers a competitive Benefits package!!

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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