For one of our ongoing multiyear project out of Washington D.C. we are looking for a Collibra DQ (CDQ) Developer.
Required Qualifications
- 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 configuring and optimizing DQ dashboards scorecards KPIs metrics and alerting ensuring measurable and visible outcomes.
- Skilled in collaborating with cross-functional teamsData Stewards Data Owners DB engineers governance teamsto 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 educating or supporting business users by explaining DQ rules exceptions and CDQ results in non-technical terms.
Preferred
- Experience implementing or supporting data quality / governance initiatives within regulated industries (e.g. banking capital markets healthcare).
- Familiarity with broader Collibra ecosystem components such as Catalog Governance Center Workflow and Lineage.
- Hands-on exposure to Informatica Cloud Data Quality (ICDQ) or similar enterprise data quality tools.
- Background in metadata-driven testing semantic quality frameworks data profiling lineage analysis or DQ automation.
Responsibilities
- Act as the primary developer for Collibra Data Quality implementations across business areas.
- Design develop and deploy DQ rules validations scoring logic match patterns profiling routines thresholds and monitoring pipelines within CDQ.
- Configure and optimize DQ dashboards scorecards workflows exception queues and performance metrics to support operational adoption.
- Implement end-to-end data quality profiling automated monitoring and exception/issue management capabilities across datasets and domains.
- Create reusable rule libraries templates and standards to support scalable governance and consistent rule deployment.
- Work closely with Data Stewards Data Owners and Governance Analysts to translate business-quality requirements into technical Collibra DQ configurations.
- Integrate CDQ with enterprise data platforms metadata systems and governance tools to ensure connected lineage and consistent quality signals.
- Produce and maintain technical design documents deployment guides operational runbooks and training materials.
- Assess when and how to leverage Informatica Cloud DQ or other tooling alongside Collibra CDQ for complementary use cases.
- Provide technical guidance code review and best-practice mentorship to governance data engineering and analytics teams.
For one of our ongoing multiyear project out of Washington D.C. we are looking for a Collibra DQ (CDQ) Developer.Required QualificationsAdvanced hands-on development experience with Collibra Data Quality (CDQ) including building customizing and deploying rules validations pipelines and DQ workflows ...
For one of our ongoing multiyear project out of Washington D.C. we are looking for a Collibra DQ (CDQ) Developer.
Required Qualifications
- 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 configuring and optimizing DQ dashboards scorecards KPIs metrics and alerting ensuring measurable and visible outcomes.
- Skilled in collaborating with cross-functional teamsData Stewards Data Owners DB engineers governance teamsto 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 educating or supporting business users by explaining DQ rules exceptions and CDQ results in non-technical terms.
Preferred
- Experience implementing or supporting data quality / governance initiatives within regulated industries (e.g. banking capital markets healthcare).
- Familiarity with broader Collibra ecosystem components such as Catalog Governance Center Workflow and Lineage.
- Hands-on exposure to Informatica Cloud Data Quality (ICDQ) or similar enterprise data quality tools.
- Background in metadata-driven testing semantic quality frameworks data profiling lineage analysis or DQ automation.
Responsibilities
- Act as the primary developer for Collibra Data Quality implementations across business areas.
- Design develop and deploy DQ rules validations scoring logic match patterns profiling routines thresholds and monitoring pipelines within CDQ.
- Configure and optimize DQ dashboards scorecards workflows exception queues and performance metrics to support operational adoption.
- Implement end-to-end data quality profiling automated monitoring and exception/issue management capabilities across datasets and domains.
- Create reusable rule libraries templates and standards to support scalable governance and consistent rule deployment.
- Work closely with Data Stewards Data Owners and Governance Analysts to translate business-quality requirements into technical Collibra DQ configurations.
- Integrate CDQ with enterprise data platforms metadata systems and governance tools to ensure connected lineage and consistent quality signals.
- Produce and maintain technical design documents deployment guides operational runbooks and training materials.
- Assess when and how to leverage Informatica Cloud DQ or other tooling alongside Collibra CDQ for complementary use cases.
- Provide technical guidance code review and best-practice mentorship to governance data engineering and analytics teams.
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