Bachelor's degree in data engineering, computer science, engineering, or related field.
Two to five years of relevant experience is acceptable.
Experience discovering and integrating distributed data sources.
Experience with structured and unstructured engineering data.
Experience with metadata, cataloging, lineage, and discoverability.
Experience with data quality, validation, and observability.
GCP or comparable cloud data-platform experience.
Experience preparing data and knowledge for retrieval and agent use.
Experience with graph, entity, and relationship modeling.
Experience building reusable headless data services.
Experience with GitHub workflows, CI/CD, and automated testing.
Experience with requirements, specifications, constitutions, contracts, and AI harnesses.
Experience with security, access control, privacy, and governance.
Production deployment and operational-support experience.