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Senior Neo4j Knowledge Graph Architect

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Onsite

Senior Neo4j Knowledge Graph Architect

Programmers.io

Senior Neo4j Knowledge Graph Architect

Skills

Data EngineeringNeo4jData AnalysisAI

22 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

8 October 2026

What they need


Position: Senior Neo4j Knowledge Graph Architect

Location: Remote

Hire Type: Full Time

Job Summary:

Looking for a Senior Neo4j Knowledge Graph Architect with strong Cypher query tuning, graph data modeling, indexing, and performance engineering experience to analyze and reduce Neo4j query response times.

Desired Skill Profile (Priority Areas)

Neo4j Performance Tuning Expert

Deep experience with Neo4j query optimization, execution plans (PROFILE/EXPLAIN), indexing strategies, and query latency reduction.

Proven track record diagnosing and resolving performance bottlenecks in large-scale graph environments

Knowledge Graph Architect

Strong expertise in graph data modeling, ontology/relationship design, traversal patterns, and scalable knowledge graph architectures.

Experience designing enterprise knowledge assets that support AI-driven discovery and contextual retrieval

Cypher Query Specialist

Hands-on experience writing and optimizing complex Cypher queries.

Ability to identify inefficient graph traversals, optimize query patterns, and improve overall graph performance.

Graph Database Operations & Monitoring

Expertise in Neo4j operational management, including memory management, page cache tuning, heap sizing, cluster performance, monitoring, and capacity planning.

Data Engineering & Large-Scale Graph Systems

Strong background in data engineering, ingestion pipelines, graph analytics, and operating graph platforms at enterprise scale.

Experience integrating multiple structured and unstructured data sources into knowledge graph ecosystems.

Additional Skill Requirement

AI-led SDLC Engineering experience, including practical application of GenAI, Agentic AI, RAG, developer productivity platforms, and AI-assisted software engineering workflows.

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