Collibra Data Quality Developer

MMI Agency; Charlotte (NC); Hybrid; USD 95,000 - 125,000; Full time

Job summary

MMI Agency seeks a Data Quality Rules Implementation lead to define and create KDEs and DQ rules for the ISDAD data within the CyberDW initiative. You will work with data owners, stewards, developers, and analysts to centralize data governance across enterprise systems.

You will validate and deploy data quality rules, perform QA and UAT, and drive rule coverage and effectiveness to ensure data integrity and reliable dashboards for security operations.

Qualifications

• Proficiency in SQL and data quality tooling for rule-based validation.
• Experience with Collibra DIP/CDQ products and data profiling.
• Knowledge of data governance, data lineage and validation methods.

Responsibilities

• Define and implement data quality rules for ISDAD within CyberDW.
• Collaborate with data owners, stewards and analysts to identify critical metrics for dashboards.
• Perform data validations, QA/UAT, and maintain test plans and scripts.

Skills

SQL

Collibra DIP

CDQ

Data profiling

Tools

Rule engines

Job description

Duration – Hybrid. (3 days a week onsite)

No C2C. Only on our W2.

Data Quality Rules Implementation role

Summary:

This important role will be responsible for defining and creating the Data Quality rules within the AD Information Security department. This is part of the overall cyber data initiative focusing on building the security and risk data platforms for the Cybersecurity Data Lakehouse (CyberDW). The goal of the CyberDW is to centralize the ISDAD data as well as establish effective data governance around the data sources and its data lineage.

This newly formed role will collaborate with developers, data owners, governance leads and business analysts within the IT and CDAO departments as well as other stakeholders aligned with the applications owned by ISDAD.

Summary:

• - Partner with the data owners and stakeholders to create KDEs and DQ rules needed for ISDAD data. Partner with the Data Owners and Data Stewards to understand what critical metrics and data fields are needed for Metric Dashboards.
• - Perform data validations and reconciliations to assess validity and effectiveness of the DQ rules, conduct QA and UAT, create and maintain detailed test plans, execute test cases, and test scripts to validate CDQ results.
• - Defines, tests, and deploys data quality rules to monitor and enforce data integrity across enterprise systems. Responsibilities: Collaborate with data stewards to define rules | Implement validation logic in tools or code | Track rule coverage and effectiveness

Skills:

• - Collibra DIP and CDQ products. Important Knowledge of data profiling and validation tools
• - Proficiency in SQL or rule based engines

• - Understanding of master and reference data management