Data Quality Analyst (Collibra Specialist)
Remote (USA)
Direct Hire | W2 Only (No C2C / No Sponsorship)
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