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Data Engineer
BAMM
🇺🇸 United States
Hybrid
Mid level
1 month ago
- Collibra
- Azure
- SQL
- Databricks
- Python
- CI/CD
- Git
- Confluence
1 month ago
The client is undergoing a digital transformation to modernize its enterprise data platform across Capital Markets and Nikko Securities. As part of this initiative, we are seeking an experienced Data Governance / Data Quality Engineer to support the design and implementation of data governance, data quality, and lineage solutions using Collibra and Azure-based platforms.
This role will work closely with Data Strategy, Business, and Data Engineering teams to ensure high-quality, governed, and trusted data across key domains such as Reference data, Market data and Operational data.
Role Objectives:
- Support enterprise data governance and data quality initiatives across critical data domains
- Implement and enhance Collibra-based governance and DQ capabilities
- Ensure data quality, lineage, and metadata management are embedded into the data platform
- Collaborate with cross-functional teams to deliver scalable, governed data solutions
Key Responsibilities:
- Develop and maintain data quality rules using Collibra DQ
- Implement and manage data governance assets (business glossary, data catalog, stewardship workflows)
- Support data lineage mapping across systems and pipelines
- Perform data profiling, validation, and issue analysis using SQL
- Integrate Collibra with Azure data platform (ADF, Databricks, Data Lake)
- Develop automation and utilities using Python or similar languages
- Collaborate with Data Owners and Engineers to define and enforce DQ controls
- Ensure code promotion using CI/CD, version control (Git), and deployment best practices
- Maintain documentation and governance artifacts in tools like Confluence and repositories
- Experience in financial services industry, financial instruments, asset classes and market data are a plus.
Data Engineer · BAMM