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.

• 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

• 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)