Cloud Engineer

Accountabilities

• • 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.

  Requirements:

  • 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, with exposure to AWS or GCP considered an advantage.
  • Experience using source-control systems such as Git, GitHub, or GitLab.
  • Understanding of Databricks capabilities such as Unity Catalog, role-based access control (RBAC), authentication mechanisms, and Delta Sharing is highly desirable.
  • 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.
  • Experience with CI/CD pipelines and automation platforms such as Azure DevOps, Jenkins, or GitHub Actions is a plus.
  • Scripting or development experience with Python, PowerShell, Bash, or similar technologies.
  • Strong analytical and troubleshooting abilities, combined with attention to detail and a proactive approach to problem-solving.
  • Ability to communicate clearly with application teams and collaborate effectively across technical and non-technical stakeholders.

  Benefits:

  • Opportunity to work hands-on with Databricks, Azure, cloud infrastructure, and modern data technologies.
  • Exposure to Infrastructure as Code, CI/CD, automation, and cloud platform operations.
  • Collaborative environment with opportunities to work closely with application and cross-functional technical teams.
  • Opportunity to develop expertise in a growing data and cloud technology ecosystem.
  • Role combining technical support, cloud engineering, automation, and continuous improvement.
  • Potential for professional growth through exposure to a broad range of cloud and data platform challenges.