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).
ResponsibilitiesKey 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.
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.
Base Compensation Range: $140,000- $155,000
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
About Us
Skills Required
- 8+ years of experience working in data engineering
- At least 4+ years of experience working with graph databases
- Deep knowledge of Neo4j, graph modeling, Cypher, APOC libraries, and Neo4j administration tools
- Hands-on experience with AWS infrastructure, including EC2, EKS, VPC, IAM, and S3
- Experience with secure networking for database deployments
- Experience using data pipeline and ETL tools such as Spark, AWS DMS, or DataSync
- Proficiency in Cypher or Gremlin
- Solid foundation in graph theory
- Familiarity with database benchmarking and load-testing tools
- Outstanding written and verbal communication skills
- Superior analytical and problem-solving skills
- Experience working in dual-shore engagement
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
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