Description

Architect and optimize graph schemas for high-performance traversal while building scalable ETL pipelines and production-grade platforms.

This role is remote.

Responsibilities

• Architect and optimize graph schemas for high-performance traversal and querying.
• Build and maintain scalable ETL/ELT pipelines for graph data hydration.
• Develop REST APIs, GraphQL APIs, and A2A integration endpoints.
• Support agent orchestration workflows and modern graph-based architectures.
• Ensure platform security, scalability, and high availability.

Required Skills

• Strong hands-on experience with Neo4j and Cypher Query Language.
• Experience building graph database solutions at enterprise scale.
• Strong ETL/ELT and data engineering expertise.
• Backend development experience with Python, Java, or Node.js.
• Familiarity with A2A protocols and agent-based integration patterns.
• Strong understanding of data governance and security standards.
• 5+ years of experience.

Preferred Skills

• Neo4j Graph Data Science (GDS) experience and Knowledge Graph/Ontology Design.
• Experience with Apache Kafka or event-streaming platforms.
• Cloud-native deployment experience on AWS, Azure, or GCP.

Key Skills

Education

Any Gradute