Google - Knowledge Catalog -Engineer

Capgemini; Alabama City (AL); On-site; USD 101,000 - 183,000; Full time

Benefits offered by this job

Paid time off

Health coverage

401(k)

Job summary

Capgemini is seeking a Google Knowledge Catalog Engineer to build, curate, and maintain an enterprise-wide data and context catalog on Google Cloud. You will ensure discoverability, quality, and semantic richness of metadata across BigQuery, Cloud Storage, Spanner, Vertex AI, and more.

You will design catalog structures, enrich metadata, and automate ingestion pipelines. Collaboration with data governance and business stakeholders is essential to enforce standards and drive adoption.

Qualifications

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

Responsibilities

• Design and maintain catalog structures in Google Cloud Knowledge Catalog.
• Curate and enrich metadata including ownership and lineage.
• Build semantic layers and ontologies to support natural-language search.
• Automate metadata ingestion and tagging pipelines.
• Collaborate with data engineering and governance teams to enforce standards.
• Monitor catalog health and drive adoption across teams.

Skills

SQL

Python

Metadata management

Data governance

Data modeling

Education

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

Tools

BigQuery

Dataplex

Knowledge Catalog

Dataform

Cloud Functions

Airflow

Vertex AI

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.LocationsUSA - LocalAbout the job you’re considering: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, BIYour Role and ResponsibilityDesign, 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 Qualifications5+ 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 QualificationsExperience 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.Educations :Bachelor's degree in Computer Science, Information Technology, Data Science.Soft SkillsStrong 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:$101,180 to $182,624.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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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 your recruiting contact.Please be aware that 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.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.