Data Solution Architect - Graph Data

We are seeking a hands-on Data Solution Architect to join our core program team and drive the design and implementation of advanced data solutions for investment intelligence. You'll architect and integrate diverse data sources, build a Neo4j-powered knowledge graph, and enable AI-driven analytics in a fast-paced, collaborative environment. If you're passionate about data lineage, security, and scalable architecture, this is your opportunity to make a real impact.

EPAM is where tech talent thrives-building groundbreaking solutions, advancing your skills through world-class learning platforms, and working alongside a global community of problem-solvers to make the future real.

Req 892854416

RESPONSIBILITIES

• Identify and integrate structured, unstructured, and semi-structured data sources
• Design role-based access control and develop logical data models, ensuring compliance and data lineage
• Document business transformations and establish data quality approaches and rules
• Create and maintain a comprehensive data catalog and register data assets with metadata
• Architect the blueprint for the Data Factory, supporting acquisition, preparation, and consumption for automated investment processes and AI analytics
• Design and implement a Neo4j-powered knowledge graph as the central data layer for investment intelligence
• Ensure investment decision traceability by linking research, strategies, and portfolio actions into a lineage graph
• Develop and maintain multi-dimensional asset ontology for flexible categorization and analysis
• Architect adaptive schema evolution using AI-driven feedback loops and genetic algorithm principles
• Integrate temporal versioning for time-aware queries and historical context
• Enable thin-pointer architecture for scalable integration with large datasets
• Incorporate GraphRAG for transforming unstructured documents into queryable graph entities
• Implement property-based access control for secure, multi-tenant data visibility
• Oversee real-time data ingestion pipelines for various data sources

REQUIREMENTS

• Proven experience with Snowflake and Airflow
• Deep knowledge of GraphRAG and graph data structures
• Strong background in data architecture and integrating market data sources
• Experience with AI-driven and assisted architecture
• Ability to teach and share knowledge on Cypher, graph traversal, and RAG concepts

NICE TO HAVE

• Amazon Web Services skills

WE OFFER

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program