Remote Position
Google Cloud Knowledge Catalog Engineer / Architect
🌍 Remote · United States
💼 Full-time
Job Title - Google Cloud Knowledge Catalog Engineer / Architect Location - Dallas, TX - Remote or Hybrid Looking for hands on Google Knowledge Catalog Engineer / Architect with good communication skills. DataPlex and now Knowledge Catalog exp is a MUST.
- Design, configure, and maintain catalog structures (entries, aspect types, tags, glossaries) within Google Cloud's Knowledge Catalog (built on Dataplex) to organize data across BigQuery, Cloud Storage, Spanner, Vertex AI, Pub/Sub, and third-party sources.
- Curate and enrich metadata — business definitions, ownership, sensitivity classifications, lineage, and usage context — so data assets are discoverable and trustworthy.
- Build and maintain semantic layers, taxonomies, and ontologies that support natural-language search and AI grounding use cases.
- Automate metadata ingestion and tagging pipelines (e.g., via Dataplex APIs, Cloud Functions, or Dataform) to keep the catalog continuously up to date.
- Partner with data engineering, data governance, and business stakeholders to define and enforce cataloging standards, naming conventions, and data classification policies.
- Support data quality and profiling initiatives, publishing scan results as catalog metadata.
- Monitor catalog health, resolve metadata gaps or inconsistencies, and drive adoption across data and AI teams.
- Contribute catalog context to downstream AI/agentic use cases (e.g., enabling Gemini or MCP-based agents to query curated metadata).
- Document processes and provide training/enablement to data stewards and business users on catalog usage.
The MOST important requirements The candidate must have hands-on Dataplex / Knowledge Catalog experience. The client specifically says: “DataPlex and now Knowledge Catalog exp is a MUST.”