Data Governance Analyst

• Champion best practices in data governance, data quality, and data stewardship across teams.
• Collaborate closely with data engineering, product, and compliance teams to establish and improve governance frameworks.
• Implement and maintain data quality monitoring, data profiling, and policy enforcement processes.
• Drive the use of Unity Catalog and similar tools for managing metadata and access control.
• Build scalable reporting and automation workflows using SQL, Python, and orchestration tools.
• Partner with stakeholders to improve data trust and culture across structured and unstructured datasets.
• Contribute to CI/CD practices for governance pipelines, using tools like Git, Jenkins, or similar.
• Explore the evolving AI and GenAI landscape, with a focus on data guardrails and filtering mechanisms.

• Proven experience in data governance, data quality, or data operations roles.
• Hands-on experience with modern cloud data platforms - ideally Databricks, Snowflake, or Redshift on AWS.
• Proficiency in SQL and Python for data manipulation and automation.
• Familiarity with Unity Catalog, data cataloging, or lineage tools (e.g., Alation, Collibra, Purview).
• Understanding of structured and unstructured data management, profiling tools, and data quality metrics.
• Comfortable with CI/CD pipelines, version control (Git), and job orchestration.
• Excellent communication skills, with the ability to work cross-functionally and champion data ownership.
• A natural curiosity for AI and evolving technologies in data privacy, ethics, and security.

• Work in a high-impact role that sits at the intersection of data, compliance, and emerging AI.
• Get exposure to an industry-leading GenAI stack with real-world production use cases.
• Remote-first environment with flexible working, competitive comp, and equity participation.
• A collaborative team culture focused on trust, innovation, and continuous learning.

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