Data Governance Engineer
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Engineer, Data Security, Data Science Manager
About Kraken
Kraken is a mission‑focused company rooted in crypto values, committed to accelerating the global adoption of crypto for financial freedom and inclusion. With a team of experts worldwide, Kraken develops premium crypto products for traders, institutions, and newcomers, and prioritizes security, education, and client support.
Data Governance EngineerJoin our Data Platform Team. This role sits at the intersection of data engineering, platform operations, and governance enablement, ensuring our data is discoverable, well‑documented, auditable, and reliable across the organization.
Opportunity- Support metadata and catalog initiatives, including column‑level tagging, dataset documentation, and ownership attribution
- Contribute to data lineage and governance practices, improving audit readiness and visibility across pipelines and products
- Maintain Airflow DAGs, handling 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
- 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. Data Hub 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 Data Hub 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
- Experience with dashboards or BI tools (e.g. Looker, Quick Sight, Tableau)
Unless a specific Final date to receive applications is stated in the job posting, applications are accepted on an ongoing basis. Applicants may redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
Equal OpportunityWe consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is an equal opportunity employer and does not tolerate discrimination or harassment of any kind. We comply with all applicable federal, state, and local laws protecting individuals based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic.
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