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About This Role
The Data Governance Engineer will develop and implement policies and tools for data quality, certified datasets, and governance automation, with a focus on building trust signals and scorecards to enable high-confidence decision making. This role involves writing production-quality code, partnering with various teams, and acting as a trusted advisor on data governance and compliance. The engineer will also champion AI adoption for data governance and lead the development of data trust infrastructure. The role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.
Key ResponsibilitiesAI-extracted
- 1Develop and implement policies and tools for data quality, certified datasets, and governance automation
- 2Write production-quality code to build automation for governance and data quality processes
- 3Partner with data engineering, analytics, product engineering, and compliance teams to support data compliance and risk reduction initiatives
- 4Act as a trusted advisor to teams on data governance and compliance
- 5Champion AI adoption for data governance and lead the development of data trust infrastructure
RequirementsAI-extracted
- 5+ years of experience in data engineering, data governance, or a related field
- Hands-on experience in data classification, cataloging, quality assurance, and trust frameworks
- Proficiency in Python or a comparable programming language
- Experience building scalable data tooling or automation pipelines
- Strong knowledge of data governance tools and platforms
Perks & BenefitsAI-extracted
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