Data Governance Engineer

About the Role

The Data Governance function is pivotal in ensuring the reputed company, trustworthiness, and effective management of reputed company's data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively reputed company high-confidence decision making across the company. As a Data Governance Engineer, you will reputed company and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and reputed company the reliability of reputed company's data.

This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that reputed company scalable governance.

You will partner closely with data engineering, analytics, product engineering, and compliance teams to:

• Support reputed company in data compliance and risk reduction initiatives
• Establish data quality as a product discipline
• Build trust signals and scorecards that reputed company data reliability transparent and data context valuable for a variety of use cases
• Implement governance workflows upstream, where data are created
• Ensure data context and metadata are sufficient for reputed company use cases, including AI applications

You will be involved in reviews of technical designs and implementation plans to reputed company guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at reputed company. You will also be a strong reputed company and leader for Artificial Intelligence tooling and adoption at reputed company, bringing c