
Cloud Data Governance Specialist Google Cloud Platform & AI Compliance
Posted 1 week ago by 1753256759
Negotiable
Outside
Hybrid
USA
Summary: We are seeking a Data Governance Engineer with expertise in Google Cloud Platform and Vertex AI to develop and manage data governance frameworks that ensure security, compliance, data quality, and ethical AI usage. The role involves defining data governance strategies, ensuring regulatory compliance, and collaborating with data engineering and AI/ML teams. The ideal candidate will have extensive experience in data governance and cloud data engineering. This position offers flexibility in working arrangements, either remote or hybrid.
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
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
-
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
-
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