Google Cloud Knowledge Catalog Engineer / Architect - Remote / Hybrid

Xyant Services, Inc.; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Xyant Services, Inc. is seeking a hands-on Google Cloud Knowledge Catalog Engineer/Architect in Dallas with remote or hybrid work options.

The role focuses on implementing and maintaining Google Cloud Knowledge Catalog on Dataplex, curating metadata, and enabling reliable data discovery across BigQuery, Cloud Storage, and other services. The ideal candidate brings practical Knowledge Catalog experience, strong communication, and the ability to automate metadata pipelines while partnering with

Qualifications

• Hands-on Dataplex and Knowledge Catalog experience is required.
• Strong communication and stakeholder engagement skills.
• Experience organizing metadata and data assets across cloud services.

Responsibilities

• Design and maintain catalog structures (entries, types, tags, glossaries).
• Curate metadata definitions, ownership, lineage, and usage context.
• Build semantic layers and taxonomies for AI grounding and search.
• Automate ingestion and tagging pipelines using Dataplex APIs or Functions.
• Collaborate with data governance and engineering stakeholders on standards.

Skills

Dataplex

Knowledge Catalog

Cloud integration

Tools

Dataplex API

Cloud Functions

Dataform

Job description

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.