Collibra Data Lineage Engineer

Posted 5 Days Ago
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Singapore, SGP
In-Office
Mid level
Artificial Intelligence • HR Tech • Information Technology • Professional Services
The Role
Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.
Summary Generated by Built In


The Engineer will work closely with the Japanese Bank’s DMO / Data Governance Team, Data Office, DATA FSI Delivery leadership, and technical teams across Data, Integration, and Core Banking.
Key Responsibilities:
1. Collibra Implementation & Configuration:
• Develop, configure, and deploy data lineage workflows in Collibra (Technical & Business Lineage).
• Implement Collibra Data Catalog, Business Glossary, and custom domains/models.
• Configure Collibra Operating Model, communities, domains, roles, responsibilities.
• Build and optimise Collibra Workflows using BPMN and Collibra Workflow Designer.
2. Metadata & Lineage Integration
• Connect Collibra with enterprise systems:
• ETL/ELT Tools: Informatica, Talend, dbt, Airflow
• Data Lake / DWH: Snowflake, Databricks, Redshift, Oracle
• Core Banking Systems: CASA, Trade, Treasury, Payments, Channels
• Develop automated metadata ingestion pipelines (API, JDBC, custom scripts).
• Map and trace end-to-end lineage from source → transformation → consumption systems.
3. Data Governance & Regulatory Alignment
• Work with the Japanese Bank’s DMO on MAS-aligned data governance requirements (MAS 610/649, BCBS 239).
• Support creation and maintenance of Business Glossary, Data Dictionary, and ownership models:
• Data Owners
• Data Stewards
• Technical Owners
• Perform metadata quality checks and lineage validation.
4. Stakeholder & Delivery Management
• Engage with the Japanese Bank’s Data Governance, Compliance, Risk, and Technology teams.
• Provide technical SME guidance, defect remediation, and enhancement support.
• Prepare weekly progress reports, risks, issues, and present to the bank’s DMO / Delivery Lead.
• Contribute to DATA delivery governance with FSI Delivery Head.

Required Skills & Experience
1. Technical Skills
• 3–6 years hands-on experience with Collibra (Catalog, Data Lineage, Glossary, Workflow).
• Strong understanding of:
• Metadata models & governance frameworks
• Collibra DGC concepts
• Custom lineage creation
• Integration via REST API, Edge, Lineage Harvesting tools
• Experience in mapping lineage for financial data flows (preferred).
• Proficiency in SQL and metadata extraction from databases & ETL pipelines.
• Knowledge of Cloud platforms (AWS / Azure / GCP) is a plus.
2. Domain Knowledge
• Functional understanding of Banking & FSI systems: CASA, Loan, Trade, Treasury, GL, Payments, Channels.
• Familiarity with MAS regulatory reporting, risk controls, or Data Governance programs.
3. Soft Skills
• Clear communication with senior stakeholders.
• Strong documentation and reporting capability.
• Ability to work independently under strict timelines.
• Positive, client-focused mindset; protects NTT’s reputation.
4. Certifications (Good to Have)
• Collibra Ranger / Collibra Steward / Collibra Workflow Engineer.
• Data Governance certifications (DAMA, DCAM).
• Cloud Architect or Data Engineering certification.

#LI-RK1

Skills Required

  • 3-6 years hands-on experience with Collibra (Catalog, Data Lineage, Glossary, Workflow).
  • Experience implementing Collibra Data Catalog, Business Glossary, custom domains/models and operating model (communities, domains, roles).
  • Build and optimize Collibra workflows using BPMN and Collibra Workflow Designer.
  • Integration experience via REST API, Edge, Lineage Harvesting tools, and custom metadata ingestion pipelines (API, JDBC, scripts).
  • Proficiency in SQL and metadata extraction from databases and ETL pipelines.
  • Experience connecting Collibra with ETL/ELT tools and orchestration (Informatica, Talend, dbt, Airflow).
  • Experience with Data Lake / DWH technologies (Snowflake, Databricks, Redshift, Oracle).
  • Functional understanding of banking/FSI systems (CASA, Loans, Trade, Treasury, GL, Payments, Channels) and MAS regulatory frameworks (MAS 610/649, BCBS 239).
  • Perform metadata quality checks, lineage validation, and map end-to-end lineage from source to consumption.
  • Clear communication with senior stakeholders, strong documentation, reporting capability, and ability to work independently under strict timelines.
  • Knowledge of Cloud platforms (AWS, Azure, GCP).
  • Certifications such as Collibra Ranger/Steward/Workflow Engineer, DAMA or DCAM, Cloud Architect or Data Engineering certifications.
  • Experience mapping lineage for financial data flows.
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The Company
HQ: Singapore
31 Employees
Year Founded: 2023

What We Do

Cygnify offers Talent Acquisition as a Service (TAaaS), providing a fully-managed team of experts, AI tools, and a candidate database on a flexible, month-to-month subscription model.

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