Role: Collibra Data Quality Architect & Application Development Consultant
Skill: Installation configuration and ongoing administration of the Collibra Data Quality (DQ) platform implementing data quality checks validation rules and anomaly detection in Collibra DQ plus solution development and integrations.
Key Responsibilities
- Design and implement data quality checks validation rules and anomaly detection in Collibra DQ to improve accuracy completeness and trust.
- Build and maintain workflows and automated remediation processes within the platform.
- Install configure upgrade and maintain the Collibra DQ application and related components.
- Develop and support Collibra workflows API integrations and Java-based solutions.
- Connect to and scan databases/data lakes; integrate with RDBMS Snowflake and REST/Java APIs.
- Implement CI/CD and version control (e.g. GitHub) for DQ artifacts and integrations.
- Develop microservices and solutions using API/Event-Driven Architecture.
- Communicate and coordinate platform upgrades and major releases.
- Onboard users deliver training and support Data Governance and steward teams.
Required Qualifications
- 12 years in Data Engineering and/or Data Governance.
- 5 years hands-on with Collibra Data Quality (configuration administration rule design).
- Proven experience installing administering and customizing enterprise DQ applications.
- Collibra workflow design/implementation; strong Java and API development skills.
- Experience integrating Collibra with enterprise data platforms and services (e.g. Snowflake RDBMS REST).
Preferred Qualifications
- Experience developing custom integrations using Collibra APIs.
- Experience building governance metrics/scorecards using Collibra DQ metadata.
- 5 years implementing Collibra integrations (workflows connectors automation)