Data Services SME with Security Clearance
Intrepid, Inc.
Fairfax, VA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Cloud Database
Data as a Services
Data Governance
Data Integration
Data Security
Interoperability
Meta-Data Management
Data Mesh
Service-Oriented Architecture
Enterprise Data Management
Azure Data Factory
Snowflake
+3 more
Data Strategy
Microsoft Fabric
AWS Glue
Job description
Position contingent upon contract award As the Data Services SME, you will have a background in data governance, integration, and enterprise IT strategy to support critical government and intelligence initiatives. ESSENTIAL JOB FUNCTIONS: * Develop and implement data governance strategies across enterprise systems
- Lead efforts in data integration, quality assurance, and metadata management
- Define and enforce policies for data access, lineage, and lifecycle management
- Collaborate with cybersecurity and cloud teams to ensure secure data sharing and storage
- Support development of enterprise data architectures and services frameworks
- Ensure compliance with federal data policies and security standards
- Advise stakeholders on best practices for data cataloging, tagging, and interoperability
Requirements
EDUCATION & EXPERIENCE: * High school diploma/GED with 10 years, Associateβs with 8 years, Bachelorβs with 6 years, Masterβs with 4 years KNOWLEDGE & SKILLS: * Experience in data governance, enterprise data management, or data security
- Strong knowledge of data standards (e.g., DCAM, DAMA-DMBOK), architectures, and integration patterns
- Familiarity with cloud-based data services (e.g., AWS Glue, Azure Data Factory, Snowflake)
- Excellent communication skills and experience advising leadership on data policy
- Experience supporting national security, defense, or federal IT programs
- Familiarity with data mesh, data fabric, and service-oriented architecture (SOA) models
- Background in secure data sharing between cross-domain or multi-agency systems
- Knowledge of federal data initiatives (e.g., Federal Data Strategy, CDO Council priorities)
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