Job Description, Responsibilities & Requirements
About the Position
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 Solution 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.
In this role, you will be the primary architect of a sophisticated Data Factory, ensuring that the data layer supports automated investment processes and advanced reasoning.
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
- Experience in greenfield project phases (Roadmap development, Backlog prioritization, and Blueprinting)
We Offer
- Competitive compensation package
- Opportunity to work on cutting-edge AI projects
- Collaborative and innovative work environment
About the Company
EPAM Systems is a global software engineering and product development company, delivering digital transformation and technology innovation to the world’s leading companies.