What are the responsibilities and job description for the Senior Data Modeler (Data Architect) position at Data Intelligence LLC?
Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives.
Key Responsibilities
- Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements
- Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements
- Translate business needs into scalable and efficient data architectures
- Review data processing and data management methods to ensure efficiency, integrity, and performance
- Establish and maintain official data definitions, standards, and data lineage documentation
- Support database design, implementation, and optimization efforts
- Assist in developing strategies for data acquisition, storage, archival, and recovery
- Ensure data sets and applications function reliably and meet operational needs
- Provide technical oversight and mentorship to junior developers and data staff
- Troubleshoot data-related issues and provide system support as needed
Required Qualifications
- Bachelor’s degree in Computer Science or related field
- Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines
- Strong experience developing conceptual, logical, and physical data models
- Experience working with enterprise data environments and large-scale data systems
- Ability to translate complex business requirements into technical data solutions
- Experience with data governance, data standards, and metadata management
- Strong understanding of database design, implementation, and performance optimization
- Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery
- Strong analytical, problem-solving, and troubleshooting skills
- Excellent communication and collaboration abilities across technical and non-technical teams
- Active Top Secret / SCI clearance