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)