Semantic Data Architect / Knowledge Architect

Software Technology, Inc.

Atlanta, GA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Artificial Intelligence Airflow BigQuery Data as a Services Data Architecture Data Governance Data Flow Control Graph Database Neo4j Resource Description Framework (RDF) SPARQL Google Cloud

+4 more

Data Classification Data Layers Collibra Low Latency

Job description

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

Requirements

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