Senior Azure Data Engineer - Data Quality & Governance

Job Description

Be Part Of A High-Performing Team

Join a major financial-services organization that is modernizing its technology environment and expanding its data-driven capabilities across capital markets. This role sits within a strategic data organization responsible for building a modern enterprise data platform supporting broker-dealer and securities operations. The team works across multiple locations and collaborates closely with engineering, data governance, and business stakeholders to establish scalable data capabilities across reference data, securities, pricing, and future data domains.

What's In Store For You

Engagement: W2 only (no C2C/1099)

Hybrid opportunity based in Charlotte, North Carolina.

Long-term contract supporting a major enterprise data transformation.

Opportunity to contribute to the development of a strategic Azure-based data platform used across capital-markets functions.

Exposure to modern cloud data engineering, data quality, governance, lineage, and analytics technologies.

How You Will Make An Impact

Design and develop scalable data-engineering solutions supporting a strategic enterprise data platform.

Build and maintain data pipelines using Azure technologies, Python, PySpark, SQL, and Databricks.

Help establish reference-data capabilities supporting securities, pricing, and additional capital-markets data domains.

Develop and implement data-quality frameworks and controls across enterprise datasets.

Integrate governance, lineage, and data-quality capabilities into the broader data ecosystem.

Collaborate with distributed engineering and business teams while following established development, DevOps, and CI/CD standards.

Support ETL/ELT architecture and cloud-based data processing across structured and potentially NoSQL environments.

Do You Bring Proven Success in Azure Data Engineering and Data Quality?

10+ years of software development or data-engineering experience.

Strong hands-on experience with Python and PySpark.

Proven experience designing and developing data solutions within Microsoft Azure.

Hands-on experience with Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, and Azure databases.

Strong SQL skills across relational database environments; NoSQL exposure is beneficial.

Experience implementing or supporting data-quality frameworks and tools.

Experience with Collibra Data Quality, Informatica Data Quality, IBM data-quality tools, Ab Initio, or comparable platforms.

Knowledge of Collibra Data Governance and data lineage concepts.

Familiarity with Power BI.

Strong understanding of ETL/ELT processes.

Experience with Git, Jenkins, CI/CD, and the broader DevOps lifecycle.

Financial-services, capital-markets, securities, asset-class, pricing, or market-data experience is preferred.

Strong communication and collaboration skills with the ability to work across distributed technical and business teams.

Full-time