Semantic Data Architect / Knowledge Architect

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

• D esign 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:

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