Advanced, hands-on development experience with Collibra Data Quality (CDQ), including building, customizing, and deploying rules, validations, pipelines, and DQ workflows in enterprise environments.
Deep knowledge of data quality dimensions (completeness, accuracy, validity, timeliness, consistency) and ability to translate them into Collibra DQ logic, scoring methodologies, and rule frameworks.
Proven experience designing and implementing DQ rulesets, scoring thresholds, exception handling patterns, and automated monitoring jobs.
Strong capability to operationalize data quality processes, integrating business requirements into scalable CDQ configurations and repeatable technical solutions.
Hands-on expertise in configuring and optimizing DQ dashboards, scorecards, KPIs, metrics, and alerting, ensuring measurable and visible outcomes.
Skilled in collaborating with cross-functional teams—Data Stewards, Data Owners, DB engineers, governance teams—to convert rules into production-ready DQ logic.
Ability to work autonomously in fast-paced, multi-team environments, delivering high-quality DQ components on tight timelines.
Experience in educating or supporting business users by explaining DQ rules, exceptions, and CDQ results in non-technical terms.