Required Skills & Experience
- 5-8 years of experience with System administration
- Collibra experience, including configuration, asset model development, workflow creation, and scripting; Groovy scripting experience preferred
- Strong technical background, ideally within IT, data, or data governance
- Understanding of data sensitivity scanning, including how scanning tools are configured and implemented
- Experience with data integration and Python development
- Linux experience, required, supporting the deployment of integrations through Linux servers
Nice to Have Skills & Experience
- Data governance experience and understanding
- Financial services or credit union experience
- Technical background or experience
- Data integration experience
Job Description
- Design and configure role-based data access and approval processes for structured data.
- Build and configure Collibra workflows that route data access requests through the appropriate approval and provisioning process.
- Manage data lifecycle processes, including onboarding new databases into Collibra and ensuring the appropriate data owners and stewards are assigned.
- Establish and maintain data retention and archival processes within the broader data governance framework.
- Ensure data governance processes are followed throughout the full lifecycle, from data onboarding and access through retention and archival.
- Troubleshoot complex Collibra configuration, workflow, lineage, and integration issues.
Day-to-day:
One of Insight Global’s clients is seeking a System Administrator to join their team. This individual will be responsible for the administration, configuration, and ongoing support of the organization’s Collibra data governance environment. With a strong focus on backend configuration and development. They will configure workflows, asset models, roles, permissions, and data access approval processes while supporting the onboarding and lifecycle management of new data sources. The System Administrator will also configure and monitor data sensitivity scans, troubleshoot scanning and data lineage issues, and resolve problems related to data ingestion and integrations. Additionally, they will support data retention and archival processes, ensure data owners and stewards are properly assigned, and assist with integrations using APIs, Python, Groovy, and Linux. This individual will work closely with data governance, engineering, and business teams to ensure data is properly governed, accessible, and managed throughout its lifecycle.