Data Governance Engineer, Kraken

• 2+ years of experience in data governance, data engineering, analytics engineering, or a closely related technical role
• Hands-on exposure to data governance concepts, including:
• Metadata management
• Data lineage (dataset- and column-level)
• Data catalogs (e.g. DataHub or similar tooling)
• Audit and compliance requirements
• Experience supporting or contributing to governance initiatives, such as documentation standards, ownership models, or data quality practices
• Hands-on experience with data governance tools like Datahub or similar at a major multi-source high volume data system
• Strong Python fundamentals, used for automation, metadata ingestion, or governance-related tooling
• Solid SQL skills for data discovery, validation, and audit support
• Basic understanding of how data pipelines work end to end, sufficient to reason about lineage, dependencies, and data quality
• Familiarity with Airflow or workflow orchestration in a support or operational capacity
• A curious, problem-solving mindset and willingness to grow in a fast-moving data platform environment
• We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

Desirable

• We are looking for a Data Governance Engineer to join the Data Platform team
• This role sits at the intersection of data engineering, platform operations, and governance enablement, helping ensure our data is discoverable, well-documented, auditable, and reliable across the organization
• You will support the foundational capabilities that allow teams to trust and use data at scale — including metadata management, lineage, data quality, automation, and self-serve analytics
• This is a great role that enables you to grow in the Data Governance and Data Engineering career
• Support metadata and catalog initiatives, including column-level tagging, dataset documentation, and ownership attribution
• Contribute to data lineage and governance practices, helping improve audit readiness and visibility across pipelines and products
• Support and maintain Airflow DAGs, including simple pipeline changes, operational fixes, and automation tasks
• Assist with CI/CD workflows related to data pipelines, deployments, and platform tooling
• Help improve data pipeline reliability and consistency, partnering with senior engineers on enhancements and fixes
• Contribute to automation of reports and dashboards, enabling self-serve analytics for internal teams
• Support adoption of data governance standards across teams, including documentation, processes, and tooling
• Assist internal stakeholders with ad-hoc data questions, process improvements, and platform-related enhancements

• This job is accepting ongoing applications and there is no application deadline