Be Part Of A High-Performing Team:

Join a technology organization supporting data and analytics platforms within a global financial services environment. This team is focused on building secure, scalable cloud infrastructure that enables application teams to use Azure and Databricks effectively. The environment combines hands-on technical support, infrastructure automation, platform governance, and close collaboration across engineering and application teams.

What's In Store For You:

• Engagement: W2 only (no C2C/1099).
• Fully remote work arrangement aligned primarily with Eastern Time business hours.
• Opportunity to deepen experience across Azure, Databricks, Infrastructure as Code, CI/CD, and enterprise data-platform operations.
• Exposure to cloud resource provisioning, Databricks governance, application onboarding, and process automation.
• Long-term contract opportunity supporting a highly visible enterprise technology team.

How You Will Make An Impact:

• Provide first-level technical support to application teams through ServiceNow, resolving common Azure and Databricks platform requests.
• Gather technical requirements and guide application teams through the onboarding of new Data Landing Zones.
• Execute pipelines, scripts, and Infrastructure as Code deployments to provision or modify Azure and Databricks resources.
• Support the deployment of frequently requested cloud services using standardized, repeatable processes.
• Automate recurring support activities to improve response times, reliability, and operational efficiency.
• Troubleshoot access, permissions, authentication, deployment, and platform configuration issues.
• Create and maintain clear documentation covering support procedures, workflows, and onboarding processes.
• Partner with application developers, cloud engineers, and platform stakeholders to resolve requests and improve the user experience.

Do you bring proven success in Azure Databricks platform support?

• 1–3 years of hands-on experience supporting or administering Databricks environments.
• 1–3 years of experience working with Azure Data Factory.
• Previous experience in application support, production support, cloud operations, or technical platform support.
• Working knowledge of Microsoft Azure and familiarity with AWS or Google Cloud Platform.
• Experience using Git-based source-control platforms such as GitHub, GitLab, or Azure Repos.
• Ability to execute and troubleshoot deployment pipelines, scripts, and cloud provisioning workflows.
• Strong analytical skills with the ability to gather requirements and translate them into technical actions.
• Clear written and verbal communication skills, particularly when supporting application teams and documenting procedures.
• Experience with Databricks Unity Catalog, role-based access control, authentication methods, or Delta Sharing is strongly preferred.
• Experience with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK is preferred.
• Familiarity with Azure DevOps, Jenkins, or GitHub Actions is preferred.
• Scripting experience with Python, PowerShell, or Bash is preferred.