Data Architect

About This Role

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.

Responsibilities

• 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.

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.
• 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.

Nice to have:

• 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.

Benefits

• Medical – company subsidized premiums for employees, including family and dependent options.
• Dental and Vision.
• Retirement Savings (401k) up to 4% match.
• Health Savings Account (HSA), FSA and DCFSA.
• Company-paid Short/Long-term disability (with additional supplemental options).