Data Quality Analyst (Collibra Specialist)

Looking for an experienced Collibra Data Quality Analyst to play a strategic technical role in implementing and maintaining the Data Quality & Observability platform - ensuring enterprise data is accurate, consistent, and fit for purpose. This role increasingly focuses on automated observability and machine learning-driven anomaly detection.

Responsibilities:

• Design, configure, and manage data quality rules and monitoring processes within the Collibra ecosystem
• Bridge technical data engineering teams and business stakeholders, translating requirements into actionable DQ scorecards and automated remediation workflows
• Identify data-related risks and associated controls across Record Retention, Data Quality, Data Movement, Data Protection, and Data Sharing
• Perform root cause analysis on data quality issues and drive remediation of audit and regulatory feedback
• Partner with data stewards and business owners to define critical data elements (CDEs) and establish quality thresholds
• Monitor, communicate, and resolve data quality issues across upstream and downstream systems

Requirements:

• Mastery of Collibra Data Quality & Observability (formerly Owl DQ); experience with Collibra DGC preferred
• Strong SQL (including Spark SQL) and Python or Java skills for custom integrations
• Hands-on experience with Snowflake, Databricks, or Google Cloud Platform
• Ability to build dashboards and scorecards; experience exporting DQ metrics to Tableau or Power BI
• Deep understanding of data governance principles - metadata management, data lineage, and stewardship
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
• Familiarity with Agile/Scrum and JIRA for tracking initiatives