Senior Data Architect: Enterprise Data & AI (TS/SCI)

E-INFOSOL LLC; Vienna (VA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

401k with company match

Certification bonuses

Generous PTO & federal holidays

Job summary

E-INFOSOL LLC is seeking a seasoned Data Architect to lead the design and management of our enterprise data environment, ensuring accurate, connected data for advanced analytics and AI initiatives. You’ll integrate traditional databases with modern data platforms and semantic technologies to empower teams with meaningful insights.

You will establish data standards, drive governance, and collaborate with engineering and AI teams to keep data structured, governed, and high quality across

Qualifications

• Active Top-Secret clearance with SCI/CI Poly potential if required by contract.
• Bachelor’s degree in CS/IT/Engineering or equivalent; advanced degree preferred.
• Minimum 10 years of relevant experience in cleared IT/government contracting.

Responsibilities

• Design and maintain enterprise data architectures integrating multiple data systems.
• Build and manage knowledge graphs, ontologies, and metadata structures.
• Develop secure, well-governed data pipelines for high-quality, trusted data.
• Support AI/ML teams with structured, contextual data for models and retrieval.
• Establish data governance, quality, and metadata standards across the org.
• Evaluate new data tech and recommend platform improvements.
• Ensure data sharing complies with security, compliance, and zero-trust requirements.

Skills

Top-Secret clearance

Data architecture

RDF/OWL/SPARQL

Cloud data services

Stakeholder communication

Kubernetes

Education

Bachelor’s degree in CS/IT/Engineering

Advanced degree preferred

Tools

PostgreSQL

LanceDB

Lance graph

Temporal.io

Docker

Kubernetes

Job description

E-INFOSOL LLC is seeking a seasoned Data Architect to lead the design and management of our enterprise data environment, ensuring accurate, connected data for advanced analytics and AI initiatives. You’ll integrate traditional databases with modern data platforms and semantic technologies to empower teams with meaningful insights.

You will establish data standards, drive governance, and collaborate with engineering and AI teams to keep data structured, governed, and high quality across