Active U.S. Secret Security Clearance and U.S. Citizenship required.
Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or related field.
3-5 years of experience in managing technical data structures or database architecture in a defense or regulated environment.
Advanced SQL database administration and query design skills.
Proficiency in Python or R for data cleaning and pipeline automation.
Strong understanding of data architecture and metadata management.
Responsibilities
Implement and manage simulation data architecture per Pentagon VAULTIS guidelines.
Document and manage data pedigree for Verification, Validation, and Accreditation (VV&A).
Oversee ETL pipelines for synthetic and live-virtual-constructive environments.
Build and optimize relational and non-relational database structures for mission profiles.
Collaborate with defense engineers and military stakeholders to create automated data pipelines.
Benefits
Health, dental, and vision insurance
401(k) match
Paid time off and holidays
Educational and professional development reimbursement
Tax-saving options
Disability and life insurance
Full Job Description
Qualis is seeking an experienced Modeling and Simulation (M&S) Data Manager to oversee the architecture, governance, and security of simulation-derived datasets within our defense programs. In this role, you will lead data administration for high-fidelity synthetic environments, digital twins, and predictive military models. Your primary focus will be ensuring that all M&S data structures comply with DoD enterprise standards, remain highly secure, and seamlessly interface with High-Performance Computing (HPC) environments to support joint-force warfighter readiness and system testing.
Essential Duties
DoD Data Strategy Enforcement: Implement and manage simulation data architecture aligned with Pentagon VAULTIS guidelines, ensuring datasets are Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable, and Secure.
VV&A Data Pedigree: Document, archive, and manage the data pedigree required for strict Verification, Validation, and Accreditation (VV&A) under DoDI 5000.61.
Classified Data Lifecycle: Oversee data extraction, transformation, and loading (ETL) pipelines for massive synthetic and live-virtual-constructive (LVC) environments across secure enclaves.
Database & Repository Administration: Build and optimize relational and non-relational database structures (e.g., PostgreSQL, SQL Server) to host complex mission profiles, threat environments, and sensor simulations.
Cross-Agency Collaboration: Partner with defense engineers, data scientists, and military stakeholders to establish clean, automated data pipelines for downstream analytical tools.
Required Qualifications
Security Clearance & Citizenship: Must possess an active U.S. Secret Security Clearance and maintain eligibility for upgrade. U.S. Citizenship is mandatory.
Education: Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field.
Experience: Minimum of 3 to 5 years of experience managing technical data structures, database architecture, or data engineering within a federal, defense, or highly regulated industrial environment.
Core Technical Proficiency:
Advanced proficiency in SQL database administration and query design.
Proven experience using Python or R for data cleaning, curation, and pipeline automation.
Data Architecture: Strong understanding of Entity-Relationship (ER) mapping, metadata management, and physical storage optimization for large datasets.
Preferred Qualifications:
DoD M&S Standards: Direct experience with military distributed simulation protocols, including HLA (High Level Architecture), DIS (Distributed Interactive Simulation), and TENA (Test and Training Enabling Architecture).
Cybersecurity Baseline: Possession of a DoD 8570/8140 IAT Level II certification (such as CompTIA Security+ CE) or higher.
Defense M&S Systems: Familiarity with standard DoD simulation ecosystems (e.g., OneSAF, AFSIM, Joint Simulation System (JCS), or MATLAB/Simulink).
Data Modeling Software: Mastery of enterprise data modeling platforms like SAP PowerDesigner, erwin Data Modeler, or Microsoft Visio.
Configuration Management: Robust experience in version-controlling data variations, baselines, and simulation builds via Git or similar defense configuration tools.
Professional Credentials: Certifications such as Certified Data Management Professional (CDMP) or platform-specific cloud/database credentials.
Qualis LLC has a comprehensive benefits package based on employment type, location, and applicable agreements that includes:
Health, dental, and vision insurance
401(k) match Paid time off and Holidays
Paid time off and Holidays
Educational, professional development and certification reimbursement.
Tax-saving options
Disability and Life Insurance
About Qualis Corporation
Qualis Corporation is a privately held company that provides engineering and technical services to the aerospace and defense industries. The company was founded in 1993 and is headquartered in Huntsville, Alabama. Qualis Corporation offers a wide range of services, including systems engineering, software development, test and evaluation, and program management. The company has a strong focus on quality and customer satisfaction, and has received numerous awards for its work. Qualis Corporation has a diverse customer base that includes the Department of Defense, NASA, and commercial aerospace companies.
