Data Governance Lead (Snowflake)

TL;DR

Data Governance Lead (Snowflake): Building and operating an enterprise data governance capability across catalogs, lineage, quality controls, access policies, and federated data products with an accent on hands-on platform implementation and AI-safe data use. Focus on configuring Snowflake security, embedding governance into pipelines and event contracts, and building scalable operating models and governance metrics.

Location: Remote within the United States

Company

hirify.global is hiring for its Shared Services Information Technology department to build and operate enterprise data platform capabilities.

What you will do

• Build and operate the enterprise data catalog, metadata standards, lineage capture, and federated data product review process.
• Implement pipeline-level data quality checks, alerting, remediation workflows, governance dashboards, and performance metrics.
• Configure Snowflake RBAC, row- and column-level security, classification tags, masking policies, and access workflows.
• Govern event schemas and contracts, including registry configuration, retention policies, access rights, and documentation.
• Define the governance strategy, operating model, standards, roadmap, stewardship expectations, and policy lifecycle.
• Partner with platform engineers, domain teams, Security, Risk, Legal, and Architecture while building a governance function over time.

Requirements

• Bachelor’s degree or equivalent experience and 8+ years of experience across data governance, data platform engineering, data architecture, analytics engineering, or related fields.
• 3+ years in a leadership or lead role overseeing governance programs, stewardship models, or cross-functional data operating frameworks.
• Hands-on experience with Snowflake governance controls, including RBAC, row- and column-level security, classification tags, masking policies, and access governance.
• Experience implementing data catalogs, automated lineage, pipeline data quality rules, event contracts, schemas, and data product governance standards.
• Experience designing AI or agent-based governance controls covering data usage, sensitive-data access, auditability, and context traceability.
• Strong systems thinking, communication, engineering collaboration, and understanding of governance across architecture, delivery, and business consumption.

Nice to have

• Experience in regulated, security-sensitive, or compliance-driven environments.
• Experience with Kafka, MuleSoft, or equivalent streaming and messaging platforms.

Culture & Benefits

• Remote work within the United States.
• Hands-on collaboration with platform engineers during delivery sprints.
• Cross-functional work with business, technology, Security, Risk, Legal, and Architecture stakeholders.
• Opportunity to build and develop a small governance function as the platform matures.
• Primarily computer-based work with regular, punctual attendance and technical leadership responsibilities.