Data Governance Engineer

Building the Future of Crypto at Kraken

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures.

Become a Krakenite and build the future of crypto!

The Data Platform Team

Join our Data Platform Team at Kraken! 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.

The Opportunity for a Data Governance Engineer

• 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.

Skills You Should HODL

• 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.

Nice to Haves

• Dashboards or BI tools (e.g. Looker, QuickSight, Tableau).

Key skills/competency

• Data Governance
• Metadata Management
• Data Lineage
• Data Quality
• Python
• SQL
• Airflow
• DataHub
• CI/CD
• Self-serve Analytics