Data Solution Architect

On-siteSalary not specified
United States

Tech Stack

pytestPythonAINeo4jFastAPI

Job Description, Responsibilities & Requirements

About the Position

Join a cutting-edge multi-service platform for financial analysis, portfolio construction, and AI-assisted investment advisory as a Data Solution Architect. The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React/TypeScript frontend and FastAPI backend, orchestrated with modern DevOps and governance practices.

Responsibilities

  • Own end-to-end architecture from data assets to AI-driven user experience, ensuring coherent contracts and verifiable paths across all layers
  • Design, implement and maintain dual-graph knowledge systems, financial DSLs and agent orchestration gateways
  • Author and steward ADRs/RFCs for robust governance and traceability for all architectural decisions
  • Integrate cloud data platforms (Snowflake, AWS EKS) and enforce security, compliance and auditability standards
  • Deliver features iteratively with high test coverage and clear documentation for engineering and compliance stakeholders

Requirements

  • Hands-on experience with Python (FastAPI, asyncio, pytest), monorepo discipline and data system design
  • Deep expertise in data architecture: ontology, taxonomy, modeling and data contracts
  • Proficiency in Neo4j knowledge graph design, Cypher and GraphRAG patterns
  • Experience with design and implementation of domain-specific languages (DSLs) and YAML/DSL pipelines
  • Strong background in AI agent orchestration, responsible AI governance and cloud integration (Snowflake, AWS, Helm, ArgoCD)

Nice to Have

  • Experience with productization of AI advisors for regulated finance, including compliance demos, audit chains and human-in-the-loop design
  • Familiarity with formal methods (Alloy, TLA+), advanced modeling languages (RDF/SHACL, SKOS) and voice/multimodal AI integration
  • Proven track record in migration of prototypes to production, deprecation of legacy systems and architecture governance for multi-service platforms
  • Strong skills in observability (OTEL, Grafana), CI/CD automation and authorship of scalable agent skills or process automation
  • Expertise in compliance frameworks, regulatory traceability and advanced information architecture for documentation

Locations

  • City: New York
  • Country: United States of America

About the Company

Join a cutting-edge multi-service platform for financial analysis, portfolio construction, and AI-assisted investment advisory.

Job Details

Company name:
EPAM
Location:
United States
Work Mode:
On-site
Posted on TheJob:
May 19, 2026
Last checked:
Jul 18, 2026
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