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# Enterprise Data Architect

- **Company:** Kemba, Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Data Analysis, Information Systems, Databases, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Meta-Data Management, Reference Data, Cloud Services, SQL Databases, Enterprise Data Management, Information Technology, Data Lineage, Data Management, Semantic Modeling, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://jobs.military.com/career/368042/enterprise-data-architect-ohio-oh-columbus

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field, or an equivalent combination of education and experience. \n
 * Seven or more years of experience in data architecture, data engineering, data warehousing, business intelligence, analytics, enterprise data management, or related disciplines, including experience designing enterprise-scale data architecture and data solutions. \n
 * Demonstrated expertise in enterprise data architecture, including logical and physical data modeling, data warehousing, data integration, metadata management, data lineage, master and reference data management, and reporting architecture. \n
 * Experience designing and supporting ETL/ELT frameworks, data pipelines, APIs, and batch or real-time integration solutions. \n
 * Strong understanding of data governance, stewardship, data quality frameworks, security controls, privacy requirements, and regulatory compliance practices. \n
 * Experience working with relational databases, SQL, cloud data platforms, business intelligence tools, and modern analytics environments. \n
 * Ability to translate business requirements into scalable architecture, integration, reporting, and analytics solutions while effectively communicating technical concepts to both technical and non-technical stakeholders. \n
 * Experience supporting enterprise reporting, semantic modeling, KPI development, dashboard solutions, and self-service analytics capabilities. \n
 * Experience in financial services, banking, credit unions, fintech, or other regulated industries preferred. \n
 * Relevant certifications in data architecture, cloud platforms, database technologies, data governance, or analytics are desirable.\n