Information Architect
Core
Designing and governing enterprise data models, semantic layers, and agentic AI solutions to support data products and AI capabilities.
Role type
Senior Information Architect (Data & Semantic Modeling)
Builds
Enterprise data models, semantic layers, ontologies, and AI-augmented data products
Domain
Financial Services / Data Architecture & Agentic AI
Deliverable
production ML models | product features
Required skills
Enterprise data modeling (conceptual/logical/physical), SqlDBM, dbt Labs, Python, Snowflake, Databricks, OWL/RDF/SPARQL, agentic AI frameworks, AI coding assistants
Preferred skills
Data Vault 2.1, Kimball/Star-schema, Data mesh, Knowledge graph platforms (Neo4j, Neptune), BCBS 239 awareness
Technologies
Snowflake, Databricks, Delta Lake, SqlDBM, dbt Labs, GitHub Copilot, Neo4j, Neptune
Responsibilities
Lead conceptual, logical, and physical data model design aligned to data mesh and medallion architectures; Govern and maintain the enterprise data model library; Define and steward canonical data entities and lineage; Design semantic models to support agentic-AI capabilities; Act as design authority for data architecture across teams; Mentor junior architects and engineers
Seniority
Senior, hands-on IC
