Senior Azure Data Engineer – Synapse, Data Factory & Databricks x3
About The Position
Join the data management organization of a large global financial institution supporting enterprise-scale data initiatives in a highly regulated banking environment. The team builds secure, scalable, and reliable data platforms for business intelligence, analytics, governance, and downstream data consumption. This role offers the opportunity to work with modern Microsoft Azure technologies on data solutions subject to rigorous security, compliance, and operational standards. The Senior Azure Data Engineer will design, build, and enhance Azure data solutions; develop and maintain production-grade data pipelines; and build and optimize cloud-based data lake architectures for structured and unstructured data. The role uses Azure Data Factory, Azure Synapse Analytics, and Databricks to support data engineering and analytics workloads. The engineer will implement appropriate security, governance, and compliance controls, collaborate with technical and business stakeholders, and troubleshoot and optimize existing solutions. This is a W2-only contract engagement, currently scheduled through March 31, 2027, with a hybrid work environment based in Charlotte, North Carolina.
Requirements
- 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.
- Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.
Nice To Haves
- Azure certifications are strongly relevant to the position.
Responsibilities
- 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.
- Use 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.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
