What are the responsibilities and job description for the Google Cloud Knowledge Catalog Engineer / Architect position at Confidencial?
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.”