Semantic Data Architect / Knowledge Architect at Atlanta, Georgia (3 days work from office)

Semantic Data Architect / Knowledge Architect

Location: Atlanta, Georgia (3 days work from office)

Job Description

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 modeling, 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 systems 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.

This is not a traditional data engineering or Google Cloud Platform platform role. Hands-on role — expected to design, prototype, and validate critical architectural patterns across the knowledge graph, ontology, and agentic AI stack.

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 engagements

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