Senior Azure Data Engineer – Synapse, Data Factory & Databricks x3

Be Part Of A High-Performing Team

Join the data management organization of a large global financial institution supporting enterprise-scale data initiatives across a highly regulated banking environment. This team is focused on building secure, scalable, and reliable data platforms that enable business intelligence, analytics, governance, and downstream data consumption. The environment offers the opportunity to work with modern Microsoft Azure technologies while contributing to data solutions that must meet rigorous security, compliance, and operational standards.

What's In Store For You

• Engagement: W2 only (no C2C/1099)

• Hybrid work environment based in Charlotte, North Carolina.

• Opportunity to work on enterprise-scale Azure data solutions within a sophisticated financial-services environment.

• Exposure to modern cloud data technologies including Azure Data Factory, Azure Synapse Analytics, Databricks, and data lake architectures.

• Contract engagement currently scheduled through March 31, 2027.

How You Will Make An Impact

• Design, build, and enhance scalable data solutions using the Microsoft Azure ecosystem.

• Develop and maintain robust data pipelines supporting enterprise data ingestion, transformation, and delivery.

• Build and optimize cloud-based data lake architectures for structured and unstructured datasets.

• Leverage Azure Data Factory, Azure Synapse Analytics, and Databricks to support data engineering and analytics workloads.

• Implement data security, governance, and compliance controls appropriate for an enterprise financial environment.

• Partner with technical and business stakeholders to ensure data solutions are reliable, secure, and aligned with organizational requirements.

• Troubleshoot data-processing issues and improve the performance, scalability, and maintainability of existing solutions.

Requirements

Do you bring proven success in enterprise Azure data engineering?

• 10+ years of overall professional experience consistent with a senior-level technology role.

• Strong hands-on experience building data solutions within Microsoft Azure.

• Demonstrated experience developing and maintaining production-grade data pipelines.

• Hands-on expertise with Azure Data Factory.

• Experience working with Azure Synapse Analytics.

• Experience with Databricks in an enterprise data environment.

• Experience designing or supporting data lakes and cloud-based data architectures.

• Understanding of data security, access controls, governance, and compliance requirements.

• Azure certifications are strongly relevant to the position.

• Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.