Role: Principal Enterprise Architect
Location: Canada (Remote)
We are seeking a highly specialized Principal Enterprise Architect with deep expertise in Semantic Web technologies, Knowledge Graphs, and Core Insurance modernization. In this client-facing role,
you will act as the strategic bridge between business operations and complex data engineering.
You will lead "left-leaning" business architecture discussions to capture technical requirements and design advanced enterprise ontologies. Your primary mission will be integrating specialized knowledge
graphs (e.g., Vehicle Knowledge Graphs) with modernized core insurance suites and modern data platforms to drive "One View of Data" and real-time, in-the-moment decisioning.
What You Will Do
Business Architecture & Advisory
Serve as the primary technical advisor to senior client stakeholders, translating complex business
processes and modernization challenges into actionable enterprise architecture roadmaps.
Lead "left-leaning" requirements gathering, ensuring that business needs directly inform the data architecture and core system transformations.
Advise on capability gaps and share industry best practices for solving complex MDM (Master Data Management) and customer journey mapping challenges.
Ontology & Knowledge Graph Engineering
Design, govern, and implement Enterprise Ontologies and complex Knowledge Graphs (including asset/vehicle and customer-centric graphs) utilizing RDF, OWL Schemas, and standard semantic
web protocols.
Evaluate and architect graph database foundations using tools like Neo4j or Microsoft Fabric
Knowledge Graph.
Develop strategies to fuel Enterprise LLMs utilizing GraphRAG (Retrieval-Augmented Generation)methodologies for contextual, AI-driven insights.
Core Systems & Enterprise Integration
Architect seamless integrations between conceptual Knowledge Graphs and Core Insurance transaction systems (specifically Duck Creek OnDemand modules: Policy, Billing, and Claims).
Define and champion the use of Canonical Data Models to standardize data exchange across the enterprise.
Design robust enterprise integration layers, leveraging integration hubs (e.g., Duck Creek Integration Hub) and decoupled architectures.
Modern Data & Streaming Ecosystems
Design high-throughput, event-driven architectures utilizing streaming platforms like Azure Event Hub or Apache Kafka.
Modernize foundational data layers utilizing scalable cloud data platforms such as Microsoft Fabric, Databricks, or Snowflake.
What You Bring (Required)
Experience: 12+ years in Enterprise/Solution Architecture, with at least 3–5 years functioning in a strategic, client-facing consulting capacity.
Semantic Data Mastery: Hands-on experience building ontologies and knowledge graphs from scratch.
Deep fluency in OWL, RDF, SPARQL, and semantic data modeling.
Graph Databases: Proven experience deploying and scaling graph databases (Neo4j, MS Fabric, Amazon Neptune, or TigerGraph).
Event-Driven Architecture: Strong background in designing event streaming pipelines (Kafka, Azure Event Hubs) for real-time data synchronization.
Industry Expertise: Previous experience in Property & Casualty (P&C) Insurance, Specialty Auto, or highly regulated financial services.
Highly Advantageous
Direct experience integrating advanced data architectures with Duck Creek (DCOD) or similar modern P&C core systems (Guidewire, Majesco).
Hands-on experience developing AI layers, specifically utilizing off-the-shelf AI models or building enterprise LLMs integrated with GraphRAG.
Proven track record of designing canonical data models to break down data silos and establish a true "One View of Data" spine.
