Knowledge Graph Architect

Optomi; United States; Presencial; USD 140 000 - 210 000; Tempo integral

Resumo da oferta

Optomi seeks a Senior Solution Architect to design and develop enterprise knowledge graphs, ontologies, and semantic models for governance-driven analytics and AI-enabled data access.

You will translate business needs into scalable architectures, collaborate with clients and engineering teams, and deliver proofs of concept across multiple domains. This client-facing role requires strong communication and problem-solving skills.

Qualificações

• Strong experience in enterprise data architecture, knowledge graph development, and graph data modeling.
• Hands-on experience designing ontologies, taxonomies, and semantic data models.
• Experience with graph technologies such as Neo4j, Amazon Neptune, Stardog, or GraphDB.
• Knowledge of graph and semantic standards, including RDF, OWL, SPARQL, or Cypher.
• Experience with semantic layers, dimensional modeling, and enterprise data integration.
• Familiarity with Snowflake, including data modeling, governed SQL, or semantic data capabilities.
• Strong understanding of data governance, metadata management, and enterprise information architecture.
• Experience translating business requirements into technical architecture and delivering proofs of concept.
• Excellent communication, problem-solving, and stakeholder collaboration skills.

Responsabilidades

• Design and develop enterprise knowledge graphs, ontologies, taxonomies, and semantic data models.
• Define business entities, relationships, hierarchies, and modeling constraints across multiple data domains.
• Architect semantic layers that enable consistent business definitions, governed queries, and cross-domain analytics.
• Integrate graph technologies with enterprise data platforms, including Snowflake.
• Develop proofs of concept demonstrating graph-based querying, semantic reasoning, and AI-enabled data access.
• Collaborate with business stakeholders and engineering teams to translate requirements into scalable technical solutions.
• Evaluate solution accuracy, performance, security, governance, and production readiness.
• Document architecture decisions, technical designs, and implementation recommendations.

Conhecimentos

Knowledge graph

Graph data modeling

Ontologies

Taxonomies

Semantic models

Neo4j

Amazon Neptune

Stardog

GraphDB

RDF

OWL

SPARQL

Cypher

Semantic layers

Dimensional modeling

Data integration

Snowflake

Data governance

Metadata management

POCs

Communication

Problem solving

Stakeholder collaboration

Ferramentas

Neo4j

Amazon Neptune

Stardog

GraphDB

Snowflake

Descrição da oferta de emprego

• We are seeking an experienced Senior Solution Architect to design and develop enterprise knowledge graph and semantic data solutions. This role focuses on connecting complex business concepts, data relationships, and modern data platforms to support governed analytics and AI-driven applications. The ideal candidate combines hands-on knowledge graph and ontology expertise with strong data architecture skills and experience delivering client-facing technical solutions and proofs of concept.

Requirements:

• Strong experience in enterprise data architecture, knowledge graph development, and graph data modeling.
• Hands-on experience designing ontologies, taxonomies, and semantic data models.
• Experience with graph technologies such as Neo4j, Amazon Neptune, Stardog, or GraphDB.
• Knowledge of graph and semantic standards, including RDF, OWL, SPARQL, or Cypher.
• Experience with semantic layers, dimensional modeling, and enterprise data integration.
• Familiarity with Snowflake, including data modeling, governed SQL, or semantic data capabilities.
• Strong understanding of data governance, metadata management, and enterprise information architecture.
• Experience translating business requirements into technical architecture and delivering proofs of concept.
• Excellent communication, problem-solving, and stakeholder collaboration skills.

Preferred Qualifications:

• Experience with LLMs, RAG, GraphRAG, or natural-language-to-SQL solutions.
• Experience evaluating AI-generated query accuracy and semantic reasoning.
• Background in financial services, insurance, or other regulated industries.
• Previous consulting or client-facing solution architecture experience.

Responsibilities:

• Design and develop enterprise knowledge graphs, ontologies, taxonomies, and semantic data models.
• Define business entities, relationships, hierarchies, and modeling constraints across multiple data domains.
• Architect semantic layers that enable consistent business definitions, governed queries, and cross-domain analytics.
• Integrate graph technologies with enterprise data platforms, including Snowflake.
• Develop proofs of concept demonstrating graph-based querying, semantic reasoning, and AI-enabled data access.
• Collaborate with business stakeholders and engineering teams to translate requirements into scalable technical solutions.
• Evaluate solution accuracy, performance, security, governance, and production readiness.
• Document architecture decisions, technical designs, and implementation recommendations.