Data Architect (DataOps) - SME
Core
Design and manage enterprise data environments integrating traditional databases with modern platforms and semantic/knowledge-graph technologies to support AI and advanced analytics.
Role type
Senior Data Architect (DataOps)
Builds
Enterprise data architectures, knowledge graphs, ontologies, and governed data pipelines
Domain
US Federal Government / Data Engineering & AI
Deliverable
production ML models
Required skills
Enterprise data architecture, distributed systems, semantic technologies (RDF, OWL, SPARQL), knowledge graph design, metadata management, data lineage, cloud data services, secure multi-environment integrations
Preferred skills
AI/ML team support, retrieval architectures, vector-based search, streaming data, real-time processing, hybrid cloud architectures
Technologies
TypeScript, React, Python, RDF, OWL, SPARQL
Responsibilities
Design and maintain enterprise data architectures; Build and manage knowledge graphs and metadata structures; Develop secure, well-governed data pipelines; Support AI teams with structured data; Establish data governance and quality standards; Evaluate new technologies for data platforms; Ensure data sharing follows security and zero trust requirements
Seniority
Senior, hands-on IC
