Data Solution Architect

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, familiarity with formal methods (Alloy, TLA+), advanced modeling languages (RDF/SHACL, SKOS), 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

Benefits

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.

Skills

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), experience with productization of AI advisors for regulated finance, familiarity with formal methods (Alloy, TLA+), advanced modeling languages (RDF/SHACL, SKOS), 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

Pay

TBD

Schedule

TBD