We are looking for a Semantic Data Architect / Knowledge Architect to lead foundational ontology and semantic layer design for a large-scale enterprise data initiative at a major credit bureau. The focus is on formal domain modelling, knowledge graph design, and metadata governance - establishing the conceptual backbone that enables downstream AI and agentic workflows. Owns end-to-end architecture for a federated, agent-mediated semantic layer spanning 20+ distributed system on Google Cloud Platform. The primary deliverable is a well-structured semantic model for domains such as credit, digital identity, workforce (income/ employment), auto lending, insurance, mortgage, utilities, and government.
Job Title: Semantic Data Architect / Knowledge Architect
Location: Atlanta, Georgia (3 days' work from the office)
Longterm Contract
Roles and Responsibilities
- Design and govern enterprise ontologies using RDF/OWL standards for customer credit, digital identity, workforce (income/employment), auto lending, insurance, mortgage, and utilities data
- Define business taxonomies, semantic vocabularies, and data classification frameworks aligned to compliance requirements
- Build and evolve knowledge graph schemas for property graph and RDF-based representations
- Integrate semantic layer with enterprise data catalog tooling including Collibra and Google Data Catalog / Dataplex
- Collaborate with AI architects to ensure ontology structures are optimized for agent-driven retrieval and context injection addressing concerns of latency, accuracy, explainability, and compliance
- Work with Google Cloud Platform data services such as Spanner Graph and BigQuery to align logical models with physical graph storage
- Lead problem framing and POC design sessions with client stakeholders to define ontology structure and graph schemas
- Produce architecture artifacts including ontology documentation, semantic layer blueprints, and governance frameworks
- Conduct architecture reviews, define NFRs (latency, scalability, accuracy, explainability, compliance), and establish technical guardrails
- Mentor and guide the India-based delivery team on architecture patterns and best practices
Must-Have Skills
- 15+ years in enterprise architecture with at least 3 years in a principal/chief architect capacity
- Deep experience in Ontology design using OWL / RDF / RDFS,
- Production experience designing knowledge graphs, ontologies, or semantic layers (RDF/OWL, Property Graphs, SPARQL, Cypher)
- Experience architecting federated/distributed metadata systems and data governance
- Experience with Collibra for data catalog, business glossary, and policy governance
- Experience with SPARQL and / or Cypher query proficiency
- Experience with credit bureau data models, FCRA compliance, permissible-use governance, or equivalent regulated financial data environments
- Proven ability to operate as a client-facing technical leader in enterprise engagement
Nice-to-Have Skills
- Direct experience with Credit Bureau technology stacks
- Google Data Catalog / Dataplex hands-on experience
- Google Cloud Platform Spanner Graph or Neo4j for graph storage
- Familiarity with GraphRAG or semantic retrieval patterns
- Experience with FIBO (Financial Industry Business Ontology)
- Understanding of agentic AI patterns - MCP servers, LangGraph, tool orchestration, agent-mediated workflows
- Experience with Google Cloud Platform data & AI stack: Vertex AI, BigQuery, Spanner (including Spanner Graph), Dataplex, Cloud Composer, Dataflow
Name: Kishore Kumbam
Sr. US IT Recruiter
Direct: Ext: 131
Email: kishore.kumar | Web:
Linkedin:
100 Overlook Center, Suite 200
Princeton, NJ 08540.
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