Data Governance Lead-Remote Role

Remote • Posted 8 hours ago • Updated 8 hours ago
Contract W2
Contract Corp To Corp
No Travel Required
Remote
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • Analytical Skill
  • Analytics
  • Cloud Computing
  • Continuous Improvement
  • Data Architecture
  • Data Engineering
  • Data Governance
  • HIPAA
  • Incident Management
  • Machine Learning (ML)
  • Management
  • Master Data Management
  • Data Management
  • Data Quality
  • Data Stewardship
  • Databricks
  • GxP
  • Regulatory Compliance
  • Usability
  • Use Cases
  • Workflow
  • Mentorship
  • Meta-data Management
  • Mobile Device Management
  • Privacy
  • Unity
  • Access Control

Summary

Role: Data Governance Lead

Location: Remote

Duration: 12+ Months

Description:

The Data Governance Lead is responsible for establishing and operationalizing governance standards across the data ecosystem, with a strong emphasis on Databricks and Unity Catalog as foundational components of the platform. This role focuses on unifying fragmented data sources into a consistent, well-managed environment and partners closely with data engineering, platform teams, product teams, and business stakeholders to define policies, frameworks, and best practices that ensure compliance, security, and high data quality.

Must Have:

  • 7+ years in data governance, data management, or enterprise data architecture.
  • Hands-on expertise with Databricks and Unity Catalog (catalog design, access policies, lineage, classification/tagging) as the primary platform requirement.
  • Experience with AWS data services (e.g., S3, Glue, Lake Formation, Redshift, IAM).
  • Experience with data governance workflows, tooling, and model management.

Responsibilities:

  • Develop and own the data governance framework, including policies, standards, metadata strategy, and data stewardship processes.
  • Lead governance across cloud and analytics platforms with priority on Databricks and Unity Catalog, followed by AWS data services and Dataiku.
  • Define catalog structure, classification models, tagging, and access rules across multiple business domains.
  • Implement metadata management, lineage tracking, and data quality controls to improve trust and usability.
  • Drive unification of data across fragmented systems by designing scalable models, harmonized definitions, and reusable governance patterns.
  • Partner with cross-functional teams to ensure data privacy, security, and regulatory compliance (e.g., PII, GxP, HIPAA where applicable).
  • Oversee data access controls, entitlements, and policy enforcement across analytic environments.
  • Establish processes for issue management, remediation, and continuous improvement.
  • Mentor data stewards and support adoption of governance standards across business teams.
  • Support platform modernization and enable analytics, AI/ML, automation, and self-service use cases.

Requirements:

  • 7+ years in data governance, data management, or enterprise data architecture.
  • Hands-on expertise with Databricks and Unity Catalog (catalog design, access policies, lineage, classification/tagging) as the primary platform requirement.
  • Experience with AWS data services (e.g., S3, Glue, Lake Formation, Redshift, IAM).
  • Experience with data governance workflows, tooling, and model management.
  • Strong understanding of MDM, metadata management, and data quality frameworks.
  • Proven success governing data across fragmented systems, complex pipelines, and multi-cloud or hybrid environments.
  • Familiarity with data privacy and compliance (PII, PHI, GxP, GDPR, etc.).

Early response is appreciated....

In compliance with the salary transparency law, the expected pay range for this role is $55-60. Actual compensation depends on experience and interview evaluation.

Thanks

Piyush Verma Lead Technical Recruiter | Empower Professionals

|Official Phone: x 350

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  • Dice Id: 10120856
  • Position Id: 8934437
  • Posted 8 hours ago
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