AI Engineer Data Platforms GCP

Data Platforms and GCP. Builds across the logic layer, the virtual knowledge graph, security and governance services, metadata and catalog services, and the interface surfaces, under architect direction. Covers rules and policy execution, entitlements and permissible purpose handling, object and link build, catalog population and lineage, and user-facing workflows.

Key requirements

• 4+ years of experience in AI/ML, data engineering, or software engineering
• Strong hands-on experience with Google Cloud Platform (GCP)
• Experience building data platforms, knowledge graphs, metadata/catalog services, and data governance solutions
• Strong programming skills in Python and/or Java
• Experience with rules/policy engines, authorization, entitlements, and access controls
• Understanding of data lineage, metadata management, data catalogs, and governance
• Experience with knowledge graphs / graph data models and object/link relationships
• Ability to build APIs, backend services, and user-facing workflows
• Familiarity with security, privacy, permissible-purpose, and data access controls
• Experience working under enterprise architecture/design standards
• Strong problem-solving and collaboration skills

Nice-to-have

• GCP services such as BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Run, GKE
• Experience with Neo4j or other graph databases
• Knowledge of IAM, policy-as-code, data governance, and lineage tools
• Experience with LLM/GenAI or AI-powered data platforms