Enterprise Data Architect

TECKpert•Tallahassee, FL

1d•$195,000•Onsite

About The Position

TECKpert is seeking an experienced Data Architect to support TECKpert’s client, a government agency in Tallahassee, Florida. This role is responsible for designing and implementing an enterprise data integration framework that modernizes and unifies large-scale data assets across financial, engineering, and operational domains. The ideal candidate brings deep experience in enterprise data architecture, cloud-based data platforms, data governance, and ETL orchestration in complex public-sector environments.

Requirements

7+ years of experience as a Data Architect or Senior Data Analyst in enterprise environments
10+ years working with large-scale database management systems
Extensive experience designing and implementing enterprise data models and ETL processes
Strong experience with Azure, Snowflake, Informatica, and PostgreSQL
Proven experience with cloud-based data integration and architecture
Expertise in SQL and data modeling techniques (relational and dimensional)
Experience with data governance, metadata management, and data quality frameworks
Experience integrating APIs and service-based data architectures
Familiarity with financial data systems and enterprise reporting platforms

Nice To Haves

Experience with DB2 systems
Experience with state or public-sector financial systems
Experience with GIS and spatial data integration
Strong communication skills with technical and non-technical stakeholders

Responsibilities

Assess current-state enterprise data systems to identify data silos, schema inconsistencies, integration gaps, and governance issues
Design and implement an enterprise data integration framework supporting scalable analytics and interoperability
Develop conceptual, logical, and physical data models across multiple enterprise domains
Define canonical data models, schemas, and integration standards
Design and implement ETL and ELT pipelines using modern data integration tools
Orchestrate data workflows using Azure Data Factory, Informatica, and Snowflake
Design RESTful APIs and service endpoints to enable data exchange across systems
Integrate spatial and GIS data with enterprise engineering and financial datasets
Establish data governance, metadata standards, lineage tracking, and stewardship models
Implement data quality monitoring processes ensuring accuracy, timeliness, and completeness
Collaborate with stakeholders to translate business requirements into scalable technical solutions
Ensure alignment with cloud-first architecture and security standards
Produce technical documentation including data dictionaries, architecture diagrams, and implementation roadmaps
Provide technical leadership, mentoring, and guidance to cross-functional teams