Data Governance Engineer

Key Responsibilities

• Support enterprise governance initiatives for structured and unstructured data.
• Develop and maintain metadata, lineage, cataloging, and data quality processes.
• Implement governance standards, data definitions, tags, and business metadata to improve consistency and traceability.
• Partner with data owners and stewards to support governance adoption and remediation efforts.
• Build and maintain automated data quality monitoring, validation rules, and governance workflows.
• Configure and support governance platforms including metadata catalogs, lineage, and observability solutions.
• Create custom integrations, connectors, dashboards, and automation solutions using Python and SQL.
• Create documentation, governance reports, and operational metrics.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 3–5+ years of professional experience with at least 1–2 years in Data Governance, Metadata Management, or Data Quality.
• Hands-on experience with governance platforms such as Atlan, Anomalo, Unity Catalog, or similar tools.
• Strong SQL and Python development skills.
• Experience with metadata management, data cataloging, lineage, and data quality frameworks.
• Familiarity with Agile delivery methodologies and tools such as Jira and Confluence.
• Experience supporting cloud-based data environments and governance initiatives.

Preferred Qualifications

• Experience with Databricks and modern cloud data platforms.
• Knowledge of unstructured data governance and metadata enrichment.
• Experience building governance automation and custom platform integrations.
• Exposure to AI-enabled governance tools and automation solutions.
• Experience supporting data modernization or cloud migration programs.