About this role
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).
Responsibilities
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.
Qualifications
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.
EXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.
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