Knowledge Graph Architect

We are looking for an experienced Enterprise Data & Knowledge Graph Architect to lead enterprise data modernization initiatives for an insurance client. This role will serve as a trusted advisor to senior stakeholders, driving enterprise architecture, semantic data modeling, knowledge graphs, and AI-enabled data solutions. The ideal candidate will design scalable enterprise data architectures, integrate with Duck Creek OnDemand, and enable GraphRAG-powered AI capabilities.

Key Responsibilities

• Advise business and technology stakeholders on enterprise architecture and data modernization.
• Lead requirements gathering and translate business needs into scalable data architecture solutions.
• Design and implement enterprise ontologies, knowledge graphs, and semantic data models using RDF, OWL, and SPARQL.
• Architect graph database solutions using Neo4j, Microsoft Fabric Knowledge Graph, Amazon Neptune, or TigerGraph.
• Build GraphRAG architectures to support enterprise LLM and AI initiatives.
• Design integrations with Duck Creek OnDemand (Policy, Billing, and Claims) and enterprise integration platforms.
• Define Canonical Data Models and event-driven integration using Kafka or Azure Event Hubs.

Requirements /Required Skills

• 10+ years of Enterprise/Data/Solution Architecture experience.
• Strong expertise in Knowledge Graphs, Ontologies, RDF, OWL, SPARQL, and Semantic Data Modeling.
• Hands-on experience with Neo4j/ Microsoft Fabric Knowledge Graph/ Amazon Neptune /TigerGraph.
• Experience with Master Data Management (MDM) and Enterprise Data Architecture.
• Knowledge of GraphRAG, LLM integration, and AI-driven data solutions.
• Experience with Duck Creek OnDemand and enterprise integration architecture.
• Strong understanding of Kafka, Azure Event Hubs, and event-driven architecture.
• Excellent stakeholder management and communication skills.

Preferred Skills

• Knowledge of Duck Creek Integration Hub, Microsoft Fabric, and Azure Cloud.
• TOGAF or other Enterprise Architecture certifications.
• Experience with enterprise digital transformation and data governance.