Data Trust & Compliance Engineer Google Cloud Platform & Vertex AI

Data Trust & Compliance Engineer Google Cloud Platform & Vertex AI

Posted 2 weeks ago by 1753256695

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Negotiable
Outside
Hybrid
USA
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Alation Data Catalog Apache Atlas Artificial Intelligence AWS Identity And Access Management (IAM) BigQuery Cloud Computing Cloud Technology Data Architecture Data Engineering Data Governance Data Management Data Quality Google Cloud Google Cloud Platform (GCP) Information Systems Machine Learning Management Metadata Stakeholder Communications Stakeholder Management Unstructured Data Workflows

Summary: The role of Data Governance Engineer focuses on establishing and managing data governance frameworks within Google Cloud Platform and Vertex AI. The engineer will ensure compliance, data quality, and ethical AI usage across data workflows. This position requires collaboration with data engineering and AI/ML teams to govern data effectively. The role is primarily remote or hybrid based in Atlanta, Georgia.

Key Responsibilities:

  • Define and implement data governance strategies for structured and unstructured data on Google Cloud Platform
  • Ensure compliance with regulatory and enterprise data policies (e.g., GDPR, HIPAA, SOC2)
  • Manage data lineage, cataloging, and metadata using tools like Dataplex, Data Catalog, and BigQuery
  • Collaborate with data engineering and AI/ML teams to govern data used in Vertex AI pipelines and models
  • Enable model auditability, explainability, and fairness checks using Vertex AI Explainable AI, Model Monitoring, and Bias Detection tools
  • Design access control policies and IAM roles for sensitive datasets and AI artifacts
  • Conduct data quality monitoring and establish data stewardship workflows

Key Skills:

  • 5+ years of experience in data governance, data architecture, or cloud data engineering
  • Strong understanding of Google Cloud Platform services: BigQuery, Dataplex, Data Catalog, IAM, GCS
  • Experience integrating Vertex AI into governed data workflows
  • Hands-on with data lineage, classification, policy enforcement, and data quality frameworks
  • Familiarity with AI ethics, responsible AI frameworks, and model governance
  • Experience with tools like Collibra, Alation, or Apache Atlas (a plus)
  • Strong documentation and stakeholder communication skills
  • Bachelor's or Master's degree in Data Management, Information Systems, or related field

Salary (Rate): undetermined

City: Atlanta

Country: USA

Working Arrangements: hybrid

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

We are looking for a skilled Data Governance Engineer with a strong background in Google Cloud Platform (Google Cloud Platform) and Vertex AI. You will be responsible for building and managing robust data governance frameworks that ensure security, compliance, data quality, and ethical AI usage across AI/ML and data workflows.

Key Responsibilities:

  • Define and implement data governance strategies for structured and unstructured data on Google Cloud Platform

  • Ensure compliance with regulatory and enterprise data policies (e.g., GDPR, HIPAA, SOC2)

  • Manage data lineage, cataloging, and metadata using tools like Dataplex, Data Catalog, and BigQuery

  • Collaborate with data engineering and AI/ML teams to govern data used in Vertex AI pipelines and models

  • Enable model auditability, explainability, and fairness checks using Vertex AI Explainable AI, Model Monitoring, and Bias Detection tools

  • Design access control policies and IAM roles for sensitive datasets and AI artifacts

  • Conduct data quality monitoring and establish data stewardship workflows

Required Skills:

  • 5+ years of experience in data governance, data architecture, or cloud data engineering

  • Strong understanding of Google Cloud Platform services: BigQuery, Dataplex, Data Catalog, IAM, GCS

  • Experience integrating Vertex AI into governed data workflows

  • Hands-on with data lineage, classification, policy enforcement, and data quality frameworks

  • Familiarity with AI ethics, responsible AI frameworks, and model governance

  • Experience with tools like Collibra, Alation, or Apache Atlas (a plus)

  • Strong documentation and stakeholder communication skills

  • Bachelor's or Master's degree in Data Management, Information Systems, or related field

Nice to Have:

  • Google Cloud Platform certification (Cloud Architect, Data Engineer, or ML Engineer)

  • Knowledge of MLOps or LLM-related data governance practices

  • Understanding of enterprise data mesh or federated data governance models

  • Experience with automated policy compliance and sensitive data detection

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