Data Solution Architect

• Posted 7 hours ago • Updated 7 hours ago
Full Time
Fitment

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Job Details

Skills

  • Financial Analysis
  • Data Lake
  • Streaming
  • React.js
  • TypeScript
  • DevOps
  • User Experience
  • Python
  • Systems Design
  • Data Architecture
  • Ontologies
  • Taxonomy
  • Neo4j
  • YAML
  • DSL
  • Orchestration
  • Cloud Computing
  • Snow Flake Schema
  • Amazon Web Services
  • Finance
  • Auditing
  • Modeling
  • Resource Description Framework
  • Artificial Intelligence
  • Migration
  • Prototyping
  • Legacy Systems
  • Grafana
  • Continuous Integration
  • Continuous Delivery
  • Process Automation
  • Regulatory Compliance
  • Information Architecture
  • Documentation

Summary

Join a cutting-edge multi-service platform for financial analysis, portfolio construction, and AI-assisted investment advisory. 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. Req# 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: e185dabc3760fa62d859f2e76c72bf4e
  • Posted 7 hours ago
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