Collibra CDQ Data Quality Analyst – #3593664

Axiom-Path; Charlotte (NC); Hybrid; USD 100,000 - 130,000; Full time

Job summary

Axiom-Path is seeking an experienced data quality professional to join their cyber data governance team in Charlotte, North Carolina. This hybrid role involves validating data within Collibra CDQ, supporting data quality initiatives, and ensuring the reliability of cybersecurity data.

The ideal candidate will have over 10 years of experience and hands-on knowledge of Collibra, SQL, and ETL testing. Strong collaboration skills are necessary to work with various stakeholders across the organization.

Qualifications

• 10+ years of experience in data quality, analysis, ETL testing, or data governance.
• Hands-on experience with Collibra CDQ is essential.
• Strong SQL skills including joins and aggregations.

Responsibilities

• Define, test, and validate data quality rules in Collibra CDQ.
• Support data pipeline testing to ensure accuracy and completeness.
• Collaborate with data owners and developers to identify Key Data Elements.

Skills

Collibra CDQ

Data quality testing

ETL validation

SQL

Python

PySpark

Cybersecurity data

Tools

Collibra

Postman

Job description

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.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

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.

How You Will Make An Impact

• 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.

Do you bring proven success in Collibra CDQ, cyber data quality, and ETL testing?

• 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.