Data Solution Architect

EPAM Systems; Town of Poland (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

EPAM Systems in the United States is looking for a dynamic Data Architect to join their core Program Team. This role involves designing and implementing a Neo4j-powered Knowledge Graph and ensuring investment decision traceability through advanced data architectures.

The ideal candidate will have deep expertise in Graph Technologies, experience with financial data sources, and a background in AI integration. This position plays a critical role in revolutionizing investment decision-making.

Qualifications

• Expertise in Graph Technologies with a focus on Graph Data Science and RAG.
• Proven experience with Snowflake and Airflow in financial domains.
• Strong background in Data Architecture, especially for AI-driven systems.

Responsibilities

• Design and implement a Neo4j-powered Knowledge Graph as the central intelligence layer.
• Develop logical data models and establish comprehensive data catalogs.
• Ensure investment decision traceability by linking research and portfolio actions.

Skills

Graph Data Science

Cypher

Data Architecture

AI Integration

Snowflake

Airflow

AWS cloud infrastructure

Job description

Role Overview

We are building a groundbreaking, AI‑native investment ecosystem designed to revolutionize how the world approaches investment decision‑making. As we enter the greenfield elaboration phase, we are looking for a dynamic, hands‑on Data Architect to join our core Program Team. You will be instrumental in designing the blueprints—from data models to AI infrastructure—that will power a platform serving everyone from massive wealth funds to private family offices.

Responsibilities

• Design and implement a Neo4j‑powered Knowledge Graph as the central intelligence layer
• Incorporate GraphRAG to transform unstructured research into queryable entities with full source attribution
• Architect adaptive schema evolution with AI‑driven feedback loops and genetic algorithm principles
• Develop a multi‑dimensional asset ontology for cross‑dimensional financial analysis
• Design and implement AI agents, agentic harnesses and reasoning frameworks
• Ensure investment decision traceability by linking research, strategies and portfolio actions in a lineage graph
• Identify and integrate structured, unstructured and semi‑structured data sources
• Develop logical data models and establish comprehensive data catalogs with metadata registration
• Implement Role‑Based Access Control (RBAC) and Property‑Based Access Control for multi‑tenant security
• Integrate temporal versioning and thin‑pointer architecture for scalable, duplication‑free data management
• Oversee real‑time ingestion pipelines for market and operational data
• Document business transformations and establish rigorous data quality/lineage standards

Requirements

• Expertise in Graph Technologies: Deep knowledge of Graph Data Science, Graph RAG and Cypher
• Core Stack: Proven experience with Snowflake and Airflow
• Financial Domain Knowledge: Experience with various Market Data sources and financial datasets
• Advanced AI Integration: A track record of architecture design for heavy AI‑driven or AI‑assisted systems
• Architectural Leadership: Strong background in Data Architecture, including the design of Data Factories (acquisition to consumption)
• Mentorship: Ability to teach and share knowledge on Cypher, Graph traversals and RAG methodologies with cross‑functional teams
• Nice to have: Experience with AWS cloud infrastructure
• Nice to have: Experience in greenfield project phases (Roadmap development, Backlog prioritization and Blueprinting)