AMS Data Platform Support Specialist

Jobgether · Brazil

Company

Jobgether

Location

Brazil

Type

Full Time

Job Description

Team: IT

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AMS Data Platform Support Specialist in Brazil.

You will be part of a global data support team responsible for ensuring the stability, performance, and continuous evolution of cloud-based data platforms. This role focuses on operational support and incident resolution across complex Azure environments, working closely with international teams in a follow-the-sun model. You will handle critical data and analytics workloads, ensuring availability and reliability for business users across different regions. The position requires strong hands-on technical expertise combined with a proactive mindset for problem-solving and automation. You will contribute to the improvement of modern data platforms leveraging cloud-native technologies. This is a highly collaborative and international environment where data reliability and operational excellence are key priorities.

Accountabilities:

  • Provide operational support and ensure continuity of cloud-based data platforms, resolving incidents and service disruptions.
  • Support and troubleshoot Azure Databricks workloads, including notebooks, jobs, clusters, Delta tables, and Unity Catalog.
  • Maintain and evolve CI/CD pipelines using Azure DevOps, ensuring reliable deployment processes.
  • Troubleshoot data pipelines in Azure Data Factory and ensure smooth data flow across systems.
  • Support Power BI environments, including workspaces, dataset refreshes, access management, and report availability.
  • Manage and maintain data structures in Azure Data Lake Storage Gen2.
  • Support Infrastructure as Code practices using Terraform and/or Azure Blueprints.
  • Provide operational support for Azure Virtual Machines and related services.
  • Troubleshoot Azure networking components such as VNets, NSGs, DNS, and connectivity issues.
  • Contribute to technical documentation, runbooks, and knowledge base creation.
  • Participate in continuous improvement initiatives focused on automation, standardization, and platform optimization.

  • Requirements:

    • Proven experience in support and maintenance of cloud-based data platforms.
    • Strong hands-on knowledge of Azure Databricks, including Unity Catalog and workload management.
    • Experience with CI/CD pipelines using Azure DevOps.
    • Solid knowledge of Azure Data Factory for pipeline support and troubleshooting.
    • Experience supporting Power BI environments, including governance and workspace management.
    • Knowledge of Azure Data Lake Storage Gen2 for data storage and management.
    • Experience with Infrastructure as Code tools such as Terraform and/or Azure Blueprints.
    • Hands-on experience with Microsoft Azure Virtual Machines and Azure networking concepts.
    • Advanced English proficiency (B2/C1 level) for communication with global teams.
    • Strong analytical and troubleshooting skills with a proactive approach to problem resolution.
    • Ability to work under pressure in critical, production-grade environments.
    • Excellent communication, collaboration, and ownership mindset in multicultural teams.
    • Nice to have:

      • Experience in global “follow-the-sun” support environments.
      • Knowledge of automation and platform optimization practices.
      • Experience integrating multiple Azure services in enterprise environments.
      • Background in data governance or analytics platform operations.

      • Benefits:

        • Fully remote work model.
        • Long-term corporate project engagement.
        • Collaborative international environment with global stakeholders.
        • Exposure to cutting-edge cloud and data technologies.
        • Opportunity to work with advanced Azure data ecosystem components.
        • Professional development in a highly technical and global support organization.
        • Contract type: PJ (service-based engagement).
        • Participation in large-scale, enterprise data platform initiatives.
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Date Posted

05/28/2026

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