Senior Data Governance

HMG AMERICA LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

HMG AMERICA LLC is seeking a Senior Data Governance Specialist with deep expertise in Alation or Collibra to lead enterprise data catalog implementations, governance policy enforcement, and data lineage across Snowflake, BigQuery, and AWS. The role collaborates with data stewards and engineers to drive data literacy, privacy, and compliance.

You will configure access controls, automation, and metadata harvesting, ensuring data quality and governance across the organization while supporting

Qualifications

• Minimum 5+ years in data management or analytics with 3+ years hands-on admin/implementation of Alation or Collibra.
• Experience building 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 metadata extraction.
• Familiarity with governance, data quality, stewardship, and regulatory compliance.

Responsibilities

• Design, deploy, configure, and maintain Alation or Collibra deployments.
• Establish data lineage across cloud data warehouses and BI tools.
• Implement RBAC, data masking, sensitivity tagging, and compliance controls.
• Collaborate with data stewards to curate data dictionaries and glossaries.
• Build API integrations and connectors for metadata harvesting.
• Provide SME support for platform issues and workflow enhancements.

Skills

Alation

Collibra

SQL

Python

REST APIs

Data governance

Data lineage

RBAC / Security

Stakeholder management

Tools

Snowflake

BigQuery

AWS

Redshift

Tableau

PowerBI

Job description

Job Title: Senior Data Governance / Specialist (Alation / Collibra)

Location: Remote (US-Based)

Employment Type: Full-Time

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.