Place of work: remote + occasionally one of the EPAM offices in Poland
Contract of employment or B2B contract
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.
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
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Design and implement a Neo4j-powered Knowledge Graph as the central intelligence layer
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Incorporate GraphRAG to transform unstructured research into queryable entities with full source attribution
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Architect adaptive schema evolution with AI-driven feedback loops and genetic algorithm principles
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Develop a multi-dimensional asset ontology for cross-dimensional financial analysis
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Design and implement AI agents, agentic harnesses and reasoning frameworks
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Ensure investment decision traceability by linking research, strategies and portfolio actions in a lineage graph
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Identify and integrate structured, unstructured and semi-structured data sources
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Develop logical data models and establish comprehensive data catalogs with metadata registration
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Implement Role-Based Access Control (RBAC) and Property-Based Access Control for multi-tenant security
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Integrate temporal versioning and thin-pointer architecture for scalable, duplication-free data management
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Oversee real-time ingestion pipelines for market and operational data
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Document business transformations and establish rigorous data quality/lineage standards
Requirements
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Expertise in Graph Technologies: Deep knowledge of Graph Data Science, Graph RAG and Cypher
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Core Stack: Proven experience with Snowflake and Airflow
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Financial Domain Knowledge: Experience with various Market Data sources and financial datasets <-- nice to have, not obligatory
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Advanced AI Integration: A track record of architecture design for heavy AI-driven or AI-assisted systems
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Architectural Leadership: Strong background in Data Architecture, including the design of Data Factories (acquisition to consumption)
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Mentorship: Ability to teach and share knowledge on Cypher, Graph traversals and RAG methodologies with cross-functional teams
Nice to have
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Experience with AWS cloud infrastructure
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Experience in greenfield project phases (Roadmap development, Backlog prioritization and Blueprinting)