Data ArchitectJob ID: 26-1120Clearance: Top Secret with SCI eligibilityLocation: DC MetroWhat You'll Do:
The Data Architect develops enterprise data architectures, governance frameworks, and data integration strategies supporting analytics, AI/ML, and enterprise modernization objectives.
Responsibilities will include but are not limited to:- Develop enterprise data reference architectures and integration frameworks
- Define metadata, master data, and data exchange standards.
- Design AI/ML data governance frameworks and feature store architectures.
- Establish training data lineage, provenance tracking, and metadata registries.
- Define architectures supporting synthetic data generation and cross-domain data sharing.
- Support implementation of data governance and compliance requirements.
- Develop data architecture roadmaps and modernization strategies.
What You'll Need:
- Active Top Secret (TS) security clearance with SCI eligibility.
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, Master preferred
- 8+ years of cloud architecture experience.
- Experience with AWS, Azure, or multi-cloud platforms.
- Understanding of enterprise networking, cybersecurity, and cloud governance.
- Experience producing architecture documentation and technical standards.
- Ability to obtain and maintain required security clearance.
Set Yourself Apart With:
- Experience with AI/ML data management and governance.
- Familiarity with cloud-native data platforms.
- Industry certifications in data architecture or governance.
- CDMP (Certified Data Management Professional) or equivalent preferred. AWS or Azure data specialty certification preferred.
Salary Range: $120k - $147k
The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs.
The pay range provided is a good-faith estimate and represents the range the company reasonably expects to pay for this position at the time of posting. Individual compensation may vary based on skills, experience, education, certifications, geographic location, and business needs.
