Senior Data Quality Analyst – Collibra CDQ

Be Part Of A High-Performing Team:

Join a newly formed cyber data governance and data quality division within a global financial services technology environment. This team is building stronger data governance practices around cybersecurity data, improving the quality and reliability of security and risk data, and supporting the continued development of a Cybersecurity Data Lakehouse. The group partners closely with data owners, developers, governance leads, analysts, and information security stakeholders to ensure critical cyber data is accurate, well-governed, and ready for reporting, testing, and analytics.

This is a hybrid opportunity based in Charlotte, North Carolina, supporting a high-visibility cyber data governance and data quality initiative. The role offers the opportunity to work directly with Collibra CDQ, cybersecurity datasets, data pipeline validation, and enterprise data governance practices in a regulated financial services environment. Interviews are expected to include 2–3 rounds, with both video and in-person participation required.

• Define, test, and validate data quality rules within Collibra CDQ for cybersecurity and information security datasets.
• Support end-to-end ETL and data pipeline testing to ensure data is accurate, complete, and traceable across source-to-target workflows.
• Partner with data owners, data stewards, developers, governance leads, and analysts to identify Key Data Elements and critical data quality needs.
• Use advanced SQL to validate large datasets, perform joins and aggregations, reconcile data, troubleshoot discrepancies, and confirm pipeline results.
• Build and execute detailed test plans, test cases, test scripts, QA activities, and UAT validation for data quality and pipeline outcomes.
• Work with Python, pandas, PySpark, and Spark SQL to support data validation, automation, reconciliation, and large-scale data testing.
• Contribute to cyber data governance by supporting data lineage, rule coverage, validation logic, and quality monitoring across security-related platforms.
• Help ensure cybersecurity data such as phishing, threat, vulnerability, and risk-related data is processed, tested, and governed effectively.
• Collaborate across technology, data governance, cybersecurity, and business teams to strengthen trust in enterprise security data.

• 10+ years of experience in data quality, data analysis, ETL testing, data governance, data validation, or enterprise data management.
• Hands-on experience with Collibra CDQ;
  Collibra DIP experience is strongly preferred.
• Strong experience defining, testing, and deploying data quality rules.
• Hands-on ETL automation testing experience, including end-to-end validation of data pipelines.
• Advanced SQL skills, including joins, aggregations, reconciliations, large dataset validation, and troubleshooting.
• Experience with Python, pandas, PySpark, and Spark SQL for data validation, data testing, or automation.
• Familiarity with cybersecurity-related datasets such as phishing, threat, vulnerability, security risk, or information security data.
• Strong understanding of data governance, Key Data Elements, data lineage, data owners, and data stewards.
• Experience creating and executing test plans, test cases, test scripts, QA validation, and UAT activities.
• Postman experience is preferred, especially for API or data validation testing.
• Manual testing concepts are a plus.
• Strong communication skills and the ability to work with developers, data owners, governance teams, business analysts, and cybersecurity stakeholders.