Senior Azure Data Engineer Data Quality & Governance

Zohorecruit; Charlotte (NC); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Zohorecruit has an opening for a Senior Azure Data Engineer specializing in Data Quality & Governance in Charlotte, NC. This long-term contract role sits within a large financial-services organization modernizing its data platform and analytics capabilities.

You will build scalable Azure-based data pipelines, implement data-quality controls, and integrate governance and lineage across datasets, collaborating with engineering and business teams while adhering to DevOps practices.

Qualifications

• 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 databases; NoSQL exposure beneficial.
• Experience with 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 and DevOps lifecycles (Git, Jenkins, CI/CD).
• Financial-services, capital-markets, securities, asset-class, pricing, or market-data experience preferred.

Responsibilities

• Design and develop scalable data-engineering solutions for a strategic enterprise data platform.
• Build and maintain data pipelines using Azure technologies, Python, PySpark, SQL, and Databricks.
• Help establish reference-data capabilities for securities, pricing, and capital-markets data domains.
• Develop and implement data-quality frameworks and controls across enterprise datasets.
• Integrate governance, lineage, and data-quality capabilities into the data ecosystem.
• Collaborate with distributed engineering and business teams following DevOps/CI-CD standards.
• Support ETL/ELT architectures and cloud-based data processing across structured and NoSQL environments.

Skills

10+ years experience

Communication & collaboration

Azure data engineering

Python

PySpark

Tools

Python

PySpark

Azure

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Databricks

Azure databases

SQL

NoSQL

Collibra Data Quality

Informatica Data Quality

IBM data-quality tools

Ab Initio

Power BI

Git

Jenkins

CI/CD

DevOps

Job description

Senior Azure Data Engineer Data Quality & Governance

Charlotte, United States | Posted on 09/09/2026

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.

Requirements

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.