Senior Data Architect — Enterprise Data & Governance

thestahlcompanies; Charleston (SC); On-site; USD 150,000 - 190,000; Full time

Job summary

The Stahl Companies in NIWC Atlantic (Charleston) seeks a Subject Matter Expert (SME) 5 – Data Architect to lead enterprise data architecture, data warehouses, and metadata frameworks supporting mission-critical analytics.

You will design, develop, and optimize data structures, lead data initiatives, and mentor engineers across environments to ensure data integrity and scalable performance.

Qualifications

• Experience designing enterprise data architectures and data warehouses.
• Expertise in metadata management and governance.
• Ability to lead data initiatives and mentor teams.
• Strong knowledge of data modeling and integration.
• Experience with performance optimization and scalable architectures.

Responsibilities

• Lead the design and implementation of enterprise-level data architectures, including relational and dimensional databases.
• Develop and maintain data warehouse strategies, blueprints, and metadata repositories to support data governance and accessibility.
• Define data acquisition, archival, and recovery strategies to ensure data integrity and continuity.
• Perform data access analysis, modeling, and optimization for performance and scalability.
• Evaluate and recommend hardware and software platforms for data management solutions.
• Integrate disparate systems and ensure seamless data interoperability across environments.
• Develop and review logical and physical data models to improve data structure and usability.
• Provide technical leadership and mentorship to data engineers and database teams.

Skills

Data architecture

Data warehousing

Metadata management

System integration

Data modeling

Job description

The Stahl Companies in NIWC Atlantic (Charleston) seeks a Subject Matter Expert (SME) 5 – Data Architect to lead enterprise data architecture, data warehouses, and metadata frameworks supporting mission-critical analytics.

You will design, develop, and optimize data structures, lead data initiatives, and mentor engineers across environments to ensure data integrity and scalable performance.