Data Governance Engineer Google Cloud Platform & Vertex AI

  • Atlanta, GA
  • Posted 8 hours ago | Updated 1 hour ago

Overview

Hybrid
$80 - $100
Contract - W2
Contract - Independent
Able to Provide Sponsorship

Skills

Data Governance
Data Engineering
Data Architecture
Data Stewardship
Documentation
Good Clinical Practice
Artificial Intelligence
Data Management
Machine Learning (ML)
Google Cloud
Google Cloud Platform
Access Control
Machine Learning Operations (ML Ops)
Management
Management Information Systems

Job Details

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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