Database Manager jobs in Fort Meade, MD
Database Manager
Data architecture, database optimization, graph and NoSQL platforms, security, and performance for advanced research missions.
Apply for this RoleGS Consulting Environment
Powering the Data Behind the Mission
At GS Consulting, our advanced research and data science teams tackle the Intelligence Community's most complex quantitative challenges. Algorithms and analytical models are only as powerful as the data infrastructure supporting them. When dealing with massive, complex, and highly classified datasets, standard database administration is not enough.
As a Database Manager with GS Consulting, you will be the architectural backbone for our data science initiatives. You will design, implement, and optimize high availability databases across relational, NoSQL, and graph structures. Your work helps researchers query large data stores quickly while protecting integrity, security, and performance under operational pressure.
Mission and Responsibilities
Core Responsibilities
Our Database Managers architect and sustain the foundational data layer for advanced intelligence research. Depending on your LCAT level, you will be expected to:
- Design, deploy, and maintain very large databases to support advanced data science, machine learning, and quantitative research.
- Perform deep performance tuning, query optimization, and schema design to ensure rapid data retrieval for complex analytical models.
- Manage and integrate diverse database technologies, including traditional relational databases, NoSQL platforms, and graph databases.
- Execute rigorous data modeling, normalization, and the development of robust extract, transform, and load pipelines.
- Enforce strict data security, implement disaster recovery protocols, and support Intelligence Community data governance standards.
Technical Domains
Required Technical Domains
Successful Database Managers at GS Consulting must bring practical experience across these data infrastructure domains:
- Relational and non relational database administration
- Data architecture and logical and physical data modeling
- Performance tuning and query optimization
- Extract, transform, and load pipeline development and data warehousing
- Database security, high availability, and disaster recovery
Preferred Degree Fields and Certifications
Degrees must be from an accredited institution in Computer Science, Information Systems, Data Science, Software Engineering, or a related technical discipline. We also value candidates who hold active database certifications from Oracle, AWS, Microsoft, or equivalent providers, as well as security credentials such as Security+ or CISSP.
Qualification Paths
LCAT Qualification Paths
We are actively staffing billets across all four Database Manager levels. Please review the experience requirements below. Relevant experience must involve database architecture, administration, data modeling, or large scale data operations.
Level 1
- Bachelor Degree plus 2 years of experience
- Master Degree plus 0 years of experience
Level 2
- Bachelor Degree plus 5 years of experience
- Master Degree plus 3 years of experience
- Doctorate plus 0 years of experience
Level 3
- Bachelor Degree plus 8 years of experience
- Master Degree plus 6 years of experience
- Doctorate plus 4 years of experience
Level 4
- Bachelor Degree plus 11 years of experience
- Master Degree plus 9 years of experience
- Doctorate plus 7 years of experience
Ready to architect the data layer?
Send us your resume. Please include your active clearance level, primary database technologies, and the Database Manager level you are targeting.