Data Catalog Engineer for Cloud AI Metadata

Capgemini; City of Albany (NY); On-site; USD 101,000 - 183,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Google Knowledge Catalog Engineer in the USA to build, curate, and maintain an enterprise-wide data catalog on Google Cloud. You will own discoverability, quality, and semantic richness of metadata across BigQuery, Cloud Storage, Spanner, Vertex AI, and more, enabling AI/agentic systems and human analysts to leverage trusted data assets.

The role involves designing catalog structures, enriching metadata, and automating ingestion pipelines while partnering with data

Qualifications

• 5+ years of experience in data engineering, data governance, or metadata management.
• Hands-on experience with Google Cloud Platform, including BigQuery and Google Cloud's Knowledge Catalog / Dataplex (or prior Data Catalog).
• Strong SQL skills; working knowledge of Python for automation/scripting.
• Familiarity with metadata management concepts: lineage, data classification, business glossaries, taxonomy/ontology design.
• Understanding of data governance and compliance principles (access controls, sensitive data handling).
• Experience with APIs and automation tooling for metadata ingestion.

Responsibilities

• Design, configure, and maintain catalog structures within Google Cloud's Knowledge Catalog to organize data across services.
• Curate and enrich metadata so data assets are discoverable and trustworthy.
• Build semantic layers, taxonomies, and ontologies supporting NLP search and AI grounding use cases.
• Automate metadata ingestion and tagging pipelines to keep the catalog up to date.
• Collaborate with stakeholders to define cataloging standards and data classification policies.
• Support data quality and profiling initiatives, publishing scan results as metadata.
• Monitor catalog health and drive adoption across data and AI teams.
• Contribute catalog context to downstream AI/agentic use cases for querying curated metadata.
• Document processes and provide training on catalog usage.

Skills

SQL

Python

Google Cloud Platform

BigQuery

Knowledge Catalog / Dataplex

APIs & automation tooling

data governance

metadata management

Education

Bachelor's degree in Computer Science, Information Technology, Data Science

Tools

Dataplex

Dataform

Cloud Functions

Job description

Capgemini is seeking a Google Knowledge Catalog Engineer in the USA to build, curate, and maintain an enterprise-wide data catalog on Google Cloud. You will own discoverability, quality, and semantic richness of metadata across BigQuery, Cloud Storage, Spanner, Vertex AI, and more, enabling AI/agentic systems and human analysts to leverage trusted data assets.

The role involves designing catalog structures, enriching metadata, and automating ingestion pipelines while partnering with data