Google - Knowledge Catalog -Engineer

Capgemini; Dallas (TX); On-site; USD 76,000 - 187,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

401(k) retirement plan

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Google Knowledge Catalog Engineer to build and maintain an enterprise-wide data catalog on Google Cloud. You will curate metadata, definitions, and lineage to ensure discoverability and trust across BI tools and AI workloads.

This role emphasizes semantic layers, automation, and collaboration with data governance and engineering teams. You will design catalog structures, enforce standards, and enable data stewards and business users through training and documentation as

Qualifications

• 5+ years in data engineering, governance, or metadata management.
• Hands-on with Google Cloud Platform, BigQuery, Knowledge Catalog/Dataplex.
• Strong SQL; Python for automation.
• Familiarity with metadata concepts: lineage, classification, glossaries, taxonomy design.
• Understanding of data governance, access controls, and sensitive data handling.
• Experience with APIs and automation tooling for metadata ingestion.

Responsibilities

• Design, configure, and maintain catalog structures in Google Cloud Knowledge Catalog/Dataplex across data sources.
• Curate metadata definitions, ownership, sensitivity, lineage, and usage context.
• Build semantic layers, taxonomies, and ontologies for natural-language search and AI grounding.
• Automate metadata ingestion and tagging pipelines via Dataplex APIs, Cloud Functions, or Dataform.
• Define data catalog standards, naming conventions, and data classification policies.
• Publish data quality and profiling results as catalog metadata.
• Monitor catalog health and drive adoption across data/AI teams.
• Contribute catalog context to Gemini/MCP-based agents.
• Document processes and provide training to data stewards and business users.

Skills

Experience in data engineering

Data governance

Metadata management

SQL

Python

Google Cloud Platform

Dataplex/Knowledge Catalog

APIs/automation

Education

Bachelor's degree in Computer Science / IT / Data Science

Tools

Dataplex

BigQuery

Cloud Functions

Dataform

Vertex AI

Data governance tools

Job description

Department: Data & AI / Insights & Data (I&D)

Reports to: Data Governance Lead / Practice Manager]

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 (e.g., RAG pipelines, Gemini-based agents, BI tools).

Your Role and Responsibility

• 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.

Required 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.

Preferred Qualifications

• Experience with Gemini Ent. AI /Vertex AI, RAG architectures, or grounding AI agents in curated enterprise metadata.
• Familiarity with Dataform, Cloud Composer/Airflow, or similar orchestration tools.
• Exposure to data mesh or federated governance models.
• Google Cloud certification (e.g., Professional Data Engineer, Professional Cloud Architect).
• Prior consulting or client-facing experience.

Do you have a Bachelor's degree in Computer Science, Information Technology, Data Science.

Soft Skills

• Strong attention to detail and a structured, systematic approach to organizing information.
• Ability to translate technical metadata into business-friendly context.
• Collaborative mindset — comfortable working across data engineering, governance, and business teams.
• Clear written and verbal communication for documentation and stakeholder enablement.

The base compensation range for this role in the posted location is:$76,000 to $187,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local

pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target

compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be

subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on

multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses,

Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or

commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the

U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade,
• Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered

earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to

Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw

compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the

Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with

Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich

cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful

environment. 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental,

sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position

traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity,

Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the

way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is

committed to providing reasonable accommodation during our recruitment process. If you need assistance or

accommodation, please reach out to our recruiting contact.

Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

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