Data Governance Manager

HMG AMERICA LLC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

HMG America LLC is seeking an experienced Senior Data Governance Specialist with strong Alation expertise to lead enterprise data catalog implementations. You will manage deployment, metadata harvesting, lineage, and compliance workflows in a remote, US-based role.

You will collaborate with data stewards, engineers, and business stakeholders to enable data democratization while maintaining data security and privacy across Snowflake, BigQuery, Redshift, and BI tools like Tableau and Power BI.

Qualifications

• 5+ years in Data Management, Data Engineering, or Data Analytics.
• 3+ years hands-on Alation administration and implementation.
• Strong knowledge of cloud data architectures (Snowflake, AWS, GCP, or Azure).
• Proficiency in SQL and Python/REST APIs for automation.
• Knowledge of data governance, data quality, and regulatory compliance.
• Excellent stakeholder management and documentation skills.

Responsibilities

• Design, deploy, configure, and maintain Alation deployments tailored to business needs.
• Establish and automate data lineage across Snowflake, BigQuery, Redshift and BI tools.
• Enforce RBAC, data masking, sensitivity tagging, and GDPR/CCPA/HIPAA compliance.
• Collaborate with data stewards and domain owners to curate data dictionaries and glossaries.
• Build and maintain API integrations and data connectors for metadata harvesting.
• Serve as SME for platform troubleshooting and user access issues.

Skills

Alation

Data governance

SQL

Python

REST APIs

Snowflake

BigQuery

AWS Redshift

RBAC

Data lineage

Tools

Alation

Snowflake

BigQuery

AWS Redshift

Tableau

Power BI

SQL

Python

REST APIs

Job description

Job Title: Senior Data Governance / Specialist (Alation)

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. 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 , 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.
• 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.