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Senior Neo4j Knowledge Graph Architect
- Remote ()
- |Full Time
Posted: 2 days ago• Recruiter recently active
Hires remotely in
Remote Work Policy
Remote only
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Memory Management
Neo4J
Capacity Planning
Monitoring
Data Engineering
ontology design
Cypher
Performance Engineering
Graph Analytics
Execution Plans
Indexing Strategies
Knowledge Graph Architecture
Ingestion Pipelines
Graph Data Modeling
Relationship Design
Graph Platforms
Cluster Performance
Cypher Queries
Heap Sizing
Neo4j Query Optimization
Query Latency Reduction
Traversal Patterns
Neo4j Operational Management
Page Cache Tuning
About the job
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)
1. 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.
2. Knowledge Graph Architect
- Strong expertise in graph data modeling, ontology/relationship design, traversal patterns, and scalable knowledge graph architecture.
- Experience designing enterprise knowledge assets that support AI-driven discovery and contextual retrieval.
3. 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.
4. Graph Database Operations & Monitoring
- Expertise in Neo4j operational management, including memory management, page cache tuning, heap sizing, cluster performance, monitoring, and capacity planning.
5. 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.
About the company
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