Technical Lead Collibra

Overview

We are seeking a Senior Technical Lead with strong expertise in data governance, data quality, metadata management, and broader data management practices, with hands-on experience delivering solutions using the Collibra platform. The role involves defining solution architectures, leading configuration and integration of Collibra modules, implementing governance workflows, establishing metadata standards, and working closely with enterprise architects, data stewards, and platform teams.

• Lead the design and implementation of Collibra-based data governance solutions, including:
  • Data Catalog
  • Business Glossary
  • Policy & Standards
  • Data Quality integration
  • Operating models (roles, responsibilities, steward ships)
• Define Collibra architecture, metadata models, custom domains, and asset types.
• Create reusable frameworks for metadata ingestion, lineage, and governance workflows.
• Collibra Configuration & Development
  • Configure Collibra components, including:
  • Custom asset models
  • Attribute definitions
  • Relations and hierarchies
  • Workflows (BPMN-based)
  • Data quality dashboards & certification workflows
• Develop and maintain Collibra REST APIs, Connect integrations, and catalog crawlers.
• Implement metadata onboarding processes and automated connectors to cloud/on-prem data platforms.
• Data Governance & Data Quality Leadership
  • Collaborate with data governance councils, data stewards, and business SMEs to define:
  • Data standards
  • Business glossary terms
  • Data ownership & stewardship models
  • Data quality rules, SLAs, and data issue management workflows
  • Ensure alignment with enterprise data governance frameworks and compliance requirements.
• Integration & Metadata Lineage
  • Implement automated metadata ingestion from:
  • Data lakes
  • ETL tools (Glue, Informatica, Talend, IICS)
  • Warehouses (Redshift, Snowflake, Big Query)
  • BI tools (Power BI, Tableau)
  • Streaming sources (Kafka)
• Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
• Ensure metadata completeness, accuracy, and operational SLAs.

Essential skills/knowledge/experience:

• Data lakes
• ETL tools (Glue, Informatica, Talend, IICS)
• Warehouses (Redshift, Snowflake, Big Query)
• BI tools (Power BI, Tableau)
• Streaming sources (Kafka)
• Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
• Ensure metadata completeness, accuracy, and operational SLAs.