12 days ago

Data Governance Engineer

Kraken

Hybrid
Full Time
$120,000
Hybrid

Job Overview

Job TitleData Governance Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$120,000
LocationHybrid

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Job Description

About Kraken

Join Kraken, a mission-focused company with crypto values, building the future of crypto. As a fully remote company with Krakenites in 70+ countries, we celebrate diverse backgrounds and perspectives.

The Role: Data Governance Engineer

This role sits at the intersection of data engineering, platform operations, and governance enablement on our Data Platform team. You will support foundational capabilities to ensure data is discoverable, well-documented, auditable, and reliable across the organization.

Key Responsibilities

  • Support metadata and catalog initiatives, including column-level tagging and documentation.
  • Contribute to data lineage and governance practices for audit readiness.
  • Maintain Airflow DAGs and support CI/CD workflow improvements.
  • Automate reports and dashboards for self-serve analytics.
  • Assist internal stakeholders with ad-hoc data questions and process enhancements.

Skills You Should HODL

  • 2+ years experience in data governance, engineering, or analytics roles.
  • Experience with metadata management, data lineage, and compliance.
  • Proficiency in Python and SQL for automation and data validation.
  • Familiarity with Airflow and workflow orchestration.
  • Understanding of data governance tools like Datahub.

Nice to Haves

  • Experience with BI tools such as Looker, QuickSight, or Tableau.

Key skills/competency

  • metadata
  • lineage
  • governance
  • automation
  • python
  • sql
  • airflow
  • data quality
  • analytics
  • documentation

Tags:

data governance engineer
metadata
lineage
documentation
audit
data catalog
automation
data quality
python
sql
airflow
BI tools
Looker
Tableau
data pipelines
CI/CD
analytics
scripting
data ingestion
governance

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How to Get Hired at Kraken

  • Research Kraken's culture: Review mission, values, and successes.
  • Customize your resume: Highlight metadata and automation skills.
  • Prepare technical stories: Focus on Python, SQL, and Airflow experience.
  • Practice interview insights: Align with governance and data quality topics.

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