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AMS Data Platform Support Specialist in Brazil, Indiana at Jobgether

NewJob Function: Customer Service
Jobgether
Brazil, Indiana, 47834, United States
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Job Description

AMS Data Platform Support Specialist

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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Job Location

Brazil, Indiana, 47834, United States

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