Senior Data Governance Specialist

HMG AMERICA LLC

United States

Remote

USD 150,000 - 170,000

Full time

28 hours ago
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Job summary

HMG AMERICA LLC is seeking a Senior Data Governance Specialist with deep expertise in Alation or Collibra to lead enterprise data catalogs, lineage, and policy enforcement. You will collaborate with data stewards and engineers to democratize data while ensuring security and regulatory compliance.

The role focuses on platform configuration, metadata management, and automation across cloud data warehouses and BI tools.

Qualifications

  • 5+ years in Data Management, Data Engineering, or Data Analytics.
  • 3+ years hands-on admin/implementation with Alation or Collibra.
  • Strong knowledge of metadata, data catalogs, glossaries, and RBAC.

Responsibilities

  • Design, deploy, configure, and maintain Alation or Collibra deployments.
  • Manage metadata, data lineage, glossaries, and workflow approvals.
  • Enforce RBAC, data masking, and compliance (GDPR, CCPA, HIPAA).
  • Collaborate with data stewards and domain owners to curate data dictionaries.
  • Build API integrations and data connectors; maintain automation schedules.
  • Provide SME support for platform issues, access, and enhancements.

Skills

Data Governance
Alation
Collibra
SQL
Python
REST APIs
Data Management
Data Engineering
Data Analytics
Stakeholder management

Tools

Snowflake
BigQuery
AWS Redshift
Tableau
Power BI
REST APIs

Job description

Job Title: Senior Data Governance / Specialist (Alation / Collibra)
Location: Remote (US-Based)
Employment Type: Full-Time
Compensation: $160,000 / Year
Role Summary

We are seeking an experienced and driven Data Governance Specialist with deep technical and functional expertise in leading data governance platforms, specifically Alation or Collibra. In this role, you will lead the implementation, configuration, and administration of enterprise data catalogs, data lineage, glossary definitions, and compliance policies. You will work closely with data stewards, data engineers, and business stakeholders to drive data democratization while ensuring data security, privacy, and regulatory compliance.

Key Responsibilities
  • Platform Administration & Configuration: Design, deploy, configure, and maintain enterprise-grade deployments of Alation or Collibra, tailoring metadata management, data glossaries, and workflow approval processes to business needs.
  • Metadata Management & Lineage: Establish and automate end-to-end technical and business data lineage tracking across cloud data warehouses (e.g., Snowflake, BigQuery, AWS Redshift) and BI reporting tools (e.g., Tableau, PowerBI).
  • Policy & Compliance Enforcement: Implement role-based access controls (RBAC), data masking policies, sensitivity tagging, and compliance frameworks (GDPR, CCPA, HIPAA) within the governance platform.
  • Collaboration & Stewardship: Partner with cross-functional data stewards and domain owners to curate data dictionaries, define business glossaries, and drive data literacy and adoption across the organization.
  • Integration & Automation: Build and maintain API integrations, data connectors, and automated harvesting schedules to ensure data catalog metadata remains accurate, fresh, and comprehensive.
  • Troubleshooting & Support: Serve as the primary subject matter expert (SME) for platform troubleshooting, user access issues, custom field creation, and workflow enhancements.
Required Qualifications & Skills
  • Experience: 5+ years of overall experience in Data Management, Data Engineering, or Data Analytics, with at least 3+ years of dedicated, hands‑on administrative and implementation experience with Alation or Collibra.
  • Technical Expertise:
  • Proven experience setting up data dictionaries, business glossaries, workflows, and automated metadata harvesting.
  • Strong understanding of cloud data architectures (Snowflake, AWS, GCP, or Azure).
  • Proficiency in SQL and Python/REST APIs for automation and custom metadata extraction.
  • Governance Frameworks: Deep knowledge of data governance best practices, data quality frameworks, stewardship models, and regulatory compliance requirements.
  • Soft Skills: Excellent stakeholder management, documentation, and communication skills; ability to bridge technical engineering concepts with business requirements.
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