Why This Role Stands Out
This hybrid role offers an exceptional opportunity to lead a critical graph database migration, leveraging your expertise in Neo4j and AWS to drive significant business impact. You'll thrive here if you're a hands-on leader passionate about designing, implementing, and guiding teams through complex technical projects, making this an exciting next step in your career.
Quick Overview
Job Description
Role Overview
We are seeking a Subject Matter Expert (SME) in Neo4j and Amazon Web Services (AWS) to lead our critical graph database migration journey. In this role, you will not just design the architecture, you will be the hands-on guide who ensures our business workloads are successfully migrated, rigorously tested, and seamlessly adopted. You will act as the bridge between technical engineering and business stakeholders, leading live demos, onboarding engineering teams, and guiding users through successful User Acceptance Testing (UAT).
Key Responsibilities
- Migration & Architecture: Design and execute secure migration strategies to move on-premise or relational data workloads to Neo4j on AWS (AuraDB, EC2, or EKS).
- Testing & Optimization: Lead performance tuning, index optimization, and load testing of Cypher queries to ensure high availability and low latency.
- Demos & Proof of Concepts (POC): Build and showcase powerful graph database demos to stakeholders to highlight business value and insights.
- Onboarding & Handholding: Provide close, side-by-side technical support to developers, data analysts, and product teams during the initial launch phase.
- UAT & Go-Live: Define UAT criteria, write test scripts, validate data integrity, and hand-hold business users through final validation for a smooth production rollout.
Required Technical Skills
- Neo4j Expertise: Deep knowledge of graph modeling, Cypher query language, APOC libraries, and Neo4j administration tools.
- AWS Cloud Mastery: Hands-on experience with AWS infrastructure (EC2, EKS, VPC, IAM, S3) and secure networking for database deployments.
- Data Integration: Proven experience using data pipeline and ETL tools (like Spark, AWS DMS, or Data Sync) to ingest data into graph databases.
- Testing Tools: Familiarity with database benchmarking and load-testing tools to simulate production workloads.
Requirements
- 8+ years of experience working with data engineering with at least 4+ years of experience working on graph databases.
- Proficiency in query languages like Cypher or Gremlin and a solid foundation in graph theory are crucial for success in this position.
- Outstanding written and verbal communication skills.
- Superior analytical and problem-solving skills.
- Experience in working in dual shore engagement is preferred.
Similar jobs
- EL
Land Survey Scout Training Program
NewExacta Land Surveyors LLC
Columbus, Ohio🇺🇸$20/hrRemote26 minutes agoWorkday - KP
Senior Associate, Google Cloud - GCP
NewKPMG
Addison, Texas🇺🇸Hybrid26 minutes agoDockerGCPSVN+15 - KP
Senior Associate, Google Cloud - GCP
NewKPMG
New York🇺🇸Hybrid26 minutes agoDockerGCPSVN+15 - KT
FS 75 Angular 25 Java Spring Oracle SQL
NewKforce Technology Staffing
Smithfield, RI🇺🇸Hybrid22 hours agoOracleSQLSpring+14 - CS
RACF Architect
NewCarman Solutions Group
United States🇺🇸Remote22 hours agoAuditingComplianceGDPR+2 - AT
Adyen Protect E-Commerce Fraud Consultant
NewAneka Talent Solutions
United States🇺🇸Remote22 hours agoCase Management