Data & Context Architect
Core
Design semantic, knowledge, and governance layers enabling AI agents to operate on trusted, well-structured data assets.
Role type
Senior Data & Context Architect
Builds
Metrics layers, ontology frameworks, search indexes, business glossaries, and governed data products
Domain
Cloud data engineering, AI/ML infrastructure, knowledge graphs
Deliverable
production ML models
Required skills
Lakehouse platforms (Databricks, Delta Lake, Unity Catalog, PySpark), Semantic/metrics layers, Ontologies & knowledge graphs (RDF/OWL, Neo4j), Vector databases & RAG, Data governance & lineage, Event-driven architectures (Kafka, MSK), Data quality management
Preferred skills
Automotive/manufacturing/supply chain domain, GenAI grounding, Text-to-SQL
Technologies
Databricks, Delta Lake, Unity Catalog, PySpark, Neo4j, Kafka, Amazon MSK
Responsibilities
Design metrics layer, ontology framework, search indexes, and business glossary; Establish and evaluate data readiness across scope, freshness, semantic clarity, quality, and governance; Elicit business rules from SMEs and translate into scalable models; Define entitlement frameworks, data lineage standards, and agent identity requirements
Seniority
Senior, hands-on IC
