Data Governance & Data Quality Engineer

Join a global financial institution advancing a major digital transformation across its Capital Markets and securities technology environment. This team is modernizing the enterprise data platform to deliver trusted, well-governed information across reference data, market data, and operational data domains. The environment brings together data strategy, engineering, governance, and business stakeholders to build scalable solutions that strengthen data transparency, quality, and regulatory readiness.

What’s In Store For You

• Engagement: W2 only; no C2C or 1099.
• Long-term, 12-month consulting engagement supporting a high-visibility enterprise data modernization program.
• Hybrid opportunity based in Charlotte, North Carolina.
• Exposure to complex Capital Markets data, modern Azure technologies, and enterprise-wide governance initiatives.
• Opportunity to influence how data quality, lineage, metadata, and stewardship are embedded into a modern cloud data platform.

How You Will Make An Impact

• Design, implement, and enhance enterprise data governance and data quality solutions using Collibra.
• Develop data quality controls and rules that improve the accuracy, completeness, consistency, and trustworthiness of critical data.
• Build and maintain business glossaries, data catalogs, governance assets, and stewardship workflows.
• Establish and maintain data lineage across source systems, integrations, data pipelines, and downstream platforms.
• Perform data profiling, validation, reconciliation, and root-cause analysis using advanced SQL.
• Integrate Collibra capabilities with Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Develop Python-based utilities that support governance, data quality, metadata, and lineage processes.
• Partner with data owners, business stakeholders, data strategists, and engineering teams to define and enforce governance controls.
• Support controlled code promotion through Git, CI/CD pipelines, and structured deployment practices.
• Maintain clear technical documentation, governance artifacts, and implementation records in Confluence and related repositories.

• 10 or more years of data engineering, data management, data governance, or related technology experience.
• Strong hands-on experience implementing enterprise data governance or data quality solutions with Collibra.
• Practical experience developing and maintaining data quality rules, controls, and monitoring processes.
• Strong SQL skills for data profiling, validation, reconciliation, issue investigation, and root-cause analysis.
• Experience supporting metadata management, business glossaries, data catalogs, stewardship workflows, and data lineage.
• Hands-on experience with Azure data technologies such as Azure Data Factory, Azure Databricks, and Azure Data Lake.
• Working knowledge of Python or a comparable programming language for developing data utilities and supporting process efficiency.
• Experience with Git, CI/CD practices, code promotion, and deployment governance.
• Ability to translate business data requirements into scalable technical controls and governance processes.
• Strong communication and stakeholder-management skills across business, governance, and engineering groups.
• Financial services experience is strongly preferred.
• Knowledge of Capital Markets, financial instruments, asset classes, reference data, or market data is highly desirable.