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

Axiom Path, Inc.; Charlotte (NC); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Axiom Path, Inc. is seeking a senior Azure Data Engineer to join a high-performing data team in Charlotte, NC. The role emphasizes building secure, scalable data platforms on Microsoft Azure to enable BI, analytics, governance, and downstream data consumption.

You will design and maintain production-grade data pipelines using Azure Data Factory, Synapse Analytics, and Databricks, while ensuring data security, compliance, and operating standards across a regulated financial environment.

Qualifications

• 10+ years of senior-level technology experience.
• Extensive hands-on Microsoft Azure data solutions experience.
• Proven ability to develop and maintain production-grade data pipelines.
• Hands-on experience with Azure Data Factory.
• Experience with Azure Synapse Analytics.
• Experience with Databricks in enterprise data environments.
• Experience designing data lakes and cloud data architectures.
• Understanding of data security, governance, and compliance.
• Azure certifications are strongly relevant.

Responsibilities

• Design, build, and optimize scalable data solutions on Azure.
• Develop robust data pipelines for ingestion, transformation, and delivery.
• Build data lake architectures for structured and unstructured data.
• Leverage Azure Data Factory, Synapse Analytics, and Databricks for workloads.
• Enforce data security, governance, and compliance controls.
• Partner with stakeholders to ensure reliable, secure data solutions.
• Troubleshoot data-processing issues and improve performance.

Skills

Azure data engineering

Data pipelines

Azure Data Factory

Azure Synapse Analytics

Databricks

Data lakes

Security & governance

Cross-functional collaboration

Analytical troubleshooting

Communication

Job description

Charlotte, United States | Posted on 09/22/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Job Description

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.