The Cloud Engineer will help application teams onboard to Databricks and build reliable Data Landing Zones (DLZ), working with Azure resources, Infrastructure as Code, automation, and deployment pipelines to deliver efficient solutions.

• Job Location: Remote
• Employment Type: Full-Time
• Salary: Not stated

Jobgether is an AI-powered recruitment platform that connects candidates with partner companies. This position is listed on behalf of a partner company seeking a Cloud Engineer based in Nigeria, focused on supporting and scaling modern cloud-based data environments.

• 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.

• 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.

How to Apply
Interested candidates should Apply here.

Why This Job Might Be a Good Fit
This role is ideal for a cloud engineer with 1–3 years of Databricks and Azure experience who enjoys combining technical support with cloud engineering and automation. It offers a remote work opportunity with exposure to Infrastructure as Code, CI/CD, and modern data technologies, along with potential for professional growth in a collaborative environment.

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