Knowledge Context Engineer

Capgemini; New Jersey; On-site; USD 32,000 - 50,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Tundra Technical Solutions is seeking a metadata-focused data professional to design, enrich, and automate enterprise metadata catalogs across cloud data stores and AI platforms. You will partner with data teams to define governance, ownership, and taxonomy guidelines, ensuring data assets remain discoverable and trustworthy.

Responsibilities include building catalog structures, automating ingestion, and enabling AI grounding with curated metadata.

Qualifications

• 3+ years of experience in data engineering, data governance, or metadata management.
• 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 (entries, aspect types, tags, glossaries) 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.

Skills

SQL

Python

Metadata management concepts

Data governance & compliance

APIs & automation tooling

Tools

Dataplex APIs

Cloud Functions

Dataform

Vertex AI

Gemini Ent. AI / Vertex AI

Job description

Design, configure, and maintain catalog structures (entries, aspect types, tags, glossaries) 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:

3+ years of experience in data engineering, data governance, or metadata management.

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.

Prior consulting or client-facing experience.

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.

Ingest metadata from knowledge sources

Curation of Knowledge Assets – Business glossaries, tagging, aspect definition

Build workflows to review and approve knowledge assets with key stakeholders

Identify knowledge gaps and mitigation

The pay range that the employer in good faith reasonably expects to pay for this position is $23.11/hour - $36.12/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.