Senior Data Architect
Core
Design, implement, and govern enterprise-scale data solutions integrating identity management, ERP, digital libraries, and AI-powered knowledge management systems for a federally funded research and development center.
Role type
Senior IC data architect (enterprise architecture & AI/ML integration)
Builds
Enterprise data architecture frameworks, data models, schemas, ontologies, pipelines, and semantic layers supporting Graph RAG and AI-driven knowledge management
Domain
Defense/Aerospace, Enterprise Data & AI/ML
Deliverable
production ML models
Required skills
Enterprise data architecture, data modeling, data governance, API design, cloud architecture (AWS/Azure/GCP), SQL/NoSQL databases, pipeline orchestration, data security, compliance frameworks, vector databases, semantic search
Preferred skills
LLM/AI architecture, knowledge graphs, ontologies, semantic web technologies (RDF/SPARQL/OWL), streaming data architectures, real-time data processing, Python/Java/Scala, DevOps/IaC, SAP/Workday/ServiceNow
Technologies
AWS, Azure, GCP, PostgreSQL, MongoDB, Neo4j, Airflow, Prefect, JSON, XML, Parquet, RDF, OWL, CUI, ITAR
Responsibilities
Design enterprise data architecture frameworks integrating identity management, ERP, and AI/ML applications; Develop data models, schemas, and ontologies for semantic interoperability; Architect data pipelines and semantic layers for Graph RAG; Lead integration architecture for ETL/ELT, MDM, and data quality; Define and enforce governance policies for classified information; Architect scalable solutions for large document volumes across hybrid environments
Seniority
Senior, hands-on IC
