Data Engineer

Hybrid: 2-3 days in Charlotte, NC

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.