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About the Role
We are looking for a Google Knowledge Catalog Engineer to build, curate, and maintain an enterprise-wide data and context catalog on Google Cloud. This role owns the discoverability, quality, and semantic richness of data and AI assets, ensuring that technical metadata, business context, and lineage are accurate, enriched, and usable by both human analysts and AI/agentic systems.
Responsibilities
- Design, configure, and maintain catalog structures within Google Cloud's Knowledge Catalog (built on Dataplex).
- Curate and enrich metadata, including business definitions, ownership, sensitivity classifications, lineage, and usage context.
- Build and maintain semantic layers, taxonomies, and ontologies.
- Automate metadata ingestion and tagging pipelines.
- Partner with data engineering, data governance, and business stakeholders to define and enforce cataloging standards.
- Support data quality and profiling initiatives, publishing scan results as catalog metadata.
- Monitor catalog health, resolve metadata gaps or inconsistencies, and drive adoption.
- Contribute catalog context to downstream AI/agentic use cases.
- Document processes and provide training/enablement on catalog usage.
Requirements
- 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.
- 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.
Skills
- Google Cloud Platform
- BigQuery
- Google Cloud's Knowledge Catalog / Dataplex
- SQL
- Python
- Metadata Management
- Lineage
- Data Classification
- Business Glossaries
- Taxonomy Design
- Ontology Design
- Data Governance
- Compliance Principles
- Access Controls
- Sensitive Data Handling
- APIs
- Automation Tooling
- Gemini Ent. AI /Vertex AI
- RAG architectures
- Dataform
- Cloud Composer/Airflow
- Data mesh
- Federated Governance Models
Location
- USA - Local
Work Type
- Full-time
Experience Level
- 5+ years of experience
Education Level
- Bachelor's degree in Computer Science, Information Technology, Data Science
Salary/Compensations
- $101,180 to $182,624
Benefits
- Paid time off based on employee grade (A-F): Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It is a responsible and diverse group of 340,000 team members in more than 50 countries.
- With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.