Be part of Data Platforms for enabling and supporting different business teams to perform analytics using Graph Database Services
Collaborate with cross-functional teams to integrate new data sources and ensure data quality and consistency
Build and maintain data models to facilitate data access and analysis by Data Scientists and Analysts
Ensure the availability and consistency of multiple Neo4j databases and make the data accessible to applications
Set Up and Operate Multi-Node Neo4j Cluster and manage multi-node Neo4j clusters to ensure scalability and high availability
Diagnose and address performance bottlenecks within Neo4j databases
Troubleshoot database performance issues and maintain the health and performance of Neo4j databases

Minimum 5+ years of technology experience & in lieu of a degree 7+ years of Technology experience
Minimum 5+ years of Database management experience
Minimum 5+ years of experience managing Data platforms
Significant Experience with Neo4j and Cypher query language
Expertise in graph driven data science applications, such as graph based feature engineering, graph embedding, or graph neural networks
Experience with Encryption Solutions for Neo4J
Experience with Backup & Recovery Methodologies used for Neo4J
Experience with Neo4J HA Architecture for Critical Applications (Clustering, Multiple Data Centers, etc.)
Extensive experience in monitoring systems and their performance
Experience deploying and managing applications running on Kubernetes (experience with administering Kubernetes clusters)
Ability to debug large and complex cloud-based systems

AVP, Senior Product Engineer – L10

Key skills