Data Solution Architect

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) #J-18808-Ljbffr EPAM Systems