Knowledge Graph Engineer

Job summary

The role involves designing, building, and scaling enterprise-grade knowledge graph systems to enhance marketing intelligence. The position requires collaboration with development teams to utilize existing knowledge graphs and translate business requirements into graph-based solutions.

Qualifications

• Proven experience with knowledge graphs in production settings
• Understanding of data modeling concepts and entity relationships
• Hands-on experience with graph databases and querying languages like Cypher or SPARQL
• Familiarity with semantic data concepts (e.g., RDF/OWL)
• General knowledge of machine learning concepts
• Experience with API integration across systems

Responsibilities

• Collaborate with teams to effectively use and extend knowledge graphs
• Develop graph-based machine learning models and integrate them with AI applications
• Build and maintain high-performance APIs for graph services
• Identify opportunities for leveraging graph intelligence in marketing technology
• Support engineers in understanding graph usage and contribute to documentation

Skills

• Experience with graph databases (e.g., Neo4j, Amazon Neptune)
• Ability to write and optimize graph queries
• Familiarity with NLP or large language models

Education

• Relevant degree or equivalent experience in a related field

Tools

• Graph databases, graph query languages, machine learning frameworks