Data Architect,Data Modeling & Integration Design Focus Job Tampa area,Florida USA,IT/Tech

Title: Data Architect, Data Modeling & Integration Design Focus
Company: Tampa Electric Company
Location: Midtown East Tower
State and City: Florida - Tampa
Shift: 8 Hr. X 5 Days

Hiring Manager: Miral Vora

Recruiter: Mark Koener

FOCUS AREAS

Advanced Data Modeling and Database Design
Cloud Data Platform Expertise
Data Governance, Security, and Compliance
ETL/ELT and Data Integration Design
Data Virtualization and Data Mesh Design
Build Data Architecture

POSITION CONCEPT

The Data Architects are responsible for the back‑end components of the organization’s data analytics environment from standards, architecture, and design perspectives. They provide 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 warehouse and data marts, and for the design of these structures.

The role ensures 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 work performed by data analysts, data engineers, and developers. The Data Architect serves as a subject matter expert with significant recent hands‑on experience with state‑of‑the‑art data integration and cleansing tools available in SAP and Azure platforms and ensures that the analytic data architecture effectively enables needed applications while developing standards in 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, ensuring that architecture meets operational requirements including scalability, security, reliability, and flexibility, and determining the appropriate deployment environment, whether cloud‑based or on‑premises. (25%)

Establish best practices for source data analysis, ETL design and documentation, data federation across platforms, business rule placement, ETL testing and release management, database‑level security, and data masking, anonymization, and tokenization. (15%)

Translate 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; 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 the quality of data model and ETL application deliverables and responsible for establishing and managing QA functions including testing (unit, system, stress, etc.) and peer reviews of data models, ETL application design, etc. (15%)

Provide technical oversight of ETL developers and data analysts, coaching and mentoring regarding technical skills and competencies. (15%)

Serve as a technical subject matter expert (SME) to provide consultation. (15%)

QUALIFICATIONS

Education: Bachelor’s Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field.
Licenses/Certifications: Preferred at least one professional certification in specific job‑related disciplines.

Direct Experience

Required: 7 years of direct work experience performing the duties and responsibilities of this position; hands‑on experience with state‑of‑the‑art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft Power

BI, etc.

Preferred Experience

Gas or Electric utility experience. Experience working in large public or private‑sector organizations.

Knowledge, Skills, and Abilities (KSA)

Required:

Deep knowledge of SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and…