Cloud Engineer

About the role

This Cloud Engineer role supports a partner company's technical team focused on scaling modern cloud-based data environments in India. Day-to-day, you will onboard application teams to Databricks, build reliable Data Landing Zones, provision and configure Azure and Databricks resources via Infrastructure as Code, and provide first-level technical support through ServiceNow. The position combines hands-on cloud engineering with application support, automation, and continuous improvement in a collaborative, cross-functional environment.

What you’ll do

• Provide first-level technical support to application teams through the ServiceNow ticketing system, investigating and resolving common Databricks and cloud-related requests
• Gather, clarify, and analyze technical requirements for onboarding new Data Landing Zones (DLZs)
• Execute pipelines, scripts, and automated processes to provision, configure, or modify Azure and Databricks resources
• Support the deployment of commonly requested Azure resources using Infrastructure as Code (IaC) practices
• Identify repetitive manual activities and develop automation to improve efficiency, consistency, and support response times
• Collaborate with application, cloud, data, and other cross-functional teams to resolve technical issues and ensure smooth onboarding
• Create, maintain, and continuously improve documentation covering support procedures, workflows, configurations, and troubleshooting processes
• Contribute to the continuous improvement of cloud support operations and the overall Databricks environment

What you’ll bring

• 1–3 years of hands-on experience working with Databricks in a technical or operational environment
• 1–3 years of experience with Azure Data Factory
• Previous experience in application support, technical operations, cloud support, or a similar role
• Familiarity with major cloud platforms, particularly Azure
• Experience using source-control systems such as Git, GitHub, or GitLab
• Experience working within the Azure ecosystem and understanding of cloud resource management
• Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or AWS CDK
• Scripting or development experience with Python, PowerShell, Bash, or similar technologies

Nice to have

• Exposure to AWS or GCP considered an advantage
• Understanding of Databricks capabilities such as Unity Catalog, RBAC, authentication mechanisms, and Delta Sharing is highly desirable
• Experience with CI/CD pipelines and automation platforms such as Azure DevOps, Jenkins, or GitHub Actions is a plus

Skills