Data Architect

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Chantilly, VA, US

2 days ago Requisition

Salary Range: $ To $ Annually

PID:

E-INFOSOL LLC is seeking a motivated and results-driven Data Architect
with 10 years of relevant professional experience in the cleared IT government contracting space to join our growing team.

The Data Architect will lead the design and management of the organization’s enterprise data environment, ensuring information is accurate, connected, and ready to support advanced analytics and AI. This role brings together traditional databases, modern data platforms, and semantic/knowledge-graph technologies to help teams access meaningful insights and power smarter decision-making. The Data Architect also sets data standards, ensures secure data sharing across environments, and collaborates closely with engineering and AI teams to keep data structured, governed, and high quality.

• Design and maintain enterprise data architectures that integrate multiple data systems.
• Build and manage knowledge graphs, ontologies, and metadata structures that improve data context and discovery.
• Develop secure, well governed data pipelines and processes for high quality, trusted data.
• Support AI and analytics teams by providing structured, contextual data for model development and retrieval workflows.
• Establish data governance, data quality, and metadata standards across the organization.
• Evaluate new technologies and recommend improvements to data platforms and processes.
• Ensure data sharing and access follow security, compliance, and zero trust requirements.

• Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience). Advanced degree in Computer Science, Information Science, Data Engineering, or related field preferred.
• Minimum 10 years of relevant professional experience

• Data architecture, data engineering, or related areas.
• Strong experience with enterprise data platforms, distributed systems, and modern data pipelines.
• Familiarity with semantic technologies (RDF, OWL, SPARQL), ontologies, and knowledge graph design.
• Experience with metadata management, data lineage, and data governance processes.
• Knowledge of cloud data services and secure, multi environment data integrations.
• Ability to communicate complex technical concepts clearly to non technical stakeholders.

• Experience supporting AI/ML teams, retrieval architectures, or vector-based search.
• Background working in secure, multi enclave, or zero trust environments.
• Experience with streaming data, real time processing, or hybrid cloud architectures.

• In-house custom developed application
• Advanced AI, GenAI & Multi-Model Engineering
• Multi-model and multi-modality orchestration (reasoning, perception, memory, tool execution)
• Temporal, spatial, geographic, quantitative, and computer vision AI implementation
• Named Entity Recognition (NER), contextual entity extraction, and resolution
• Multi-step retrieval and structured output generation
• Complex data parsing and streamlined ingestion
• Deep source citation and traceable analytic outputs
• Vector, graph, and multi database orchestration
• Automated ETL pipeline creation, scheduling, and optimization
• Attribute Based Access Control (ABAC) at the data layer
• Provenance and end to end data lineage tracking
• Schema aligned ingestion and normalization of diverse structured and unstructured data
• Enterprise Infrastructure &…