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Technical Support Engineer – Azure Databricks

Mexico, CDMX · Job Posted June 30, 2026
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Job Description

We are seeking a highly motivated Technical Support Engineer – Azure Databricks to provide advanced technical support for cloud-based data and analytics platforms. The ideal candidate will troubleshoot complex issues, assist customers with Azure Databricks deployments, and collaborate with engineering and product teams to resolve technical challenges.

Job Responsibility

  • Provide Level 2 and Level 3 technical support for Azure Databricks environments
  • Investigate, troubleshoot, and resolve customer issues related to Azure Databricks clusters, Apache Spark jobs and workloads, Notebooks and workflows, Delta Lake, Unity Catalog, Data pipelines and integrations
  • Analyze logs, metrics, and diagnostic information to identify root causes and recommend solutions
  • Escalate and collaborate with Engineering, Product, and Cloud Operations teams on complex issues
  • Assist customers with performance tuning, optimization, and best practices
  • Manage support cases in accordance with established SLAs
  • Create and maintain technical documentation, knowledge base articles, and troubleshooting guides
  • Support production environments and participate in on-call rotations when required
  • Communicate effectively with customers, stakeholders, and internal teams regarding issue status and resolution
  • Identify recurring issues and contribute to continuous improvement initiatives

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience
  • 2+ years of experience in Technical Support, Cloud Support, Data Engineering, or a related role
  • Hands-on experience with Azure Databricks
  • Strong understanding of Apache Spark architecture and troubleshooting
  • Proficiency in Python and SQL
  • Experience with Azure Data Lake Storage (ADLS Gen2), Azure Data Factory, Azure Synapse Analytics, Azure Monitor, Azure Key Vault, Microsoft Entra ID (Azure Active Directory)
  • Understanding of Data Lakehouse, Data Warehouse, and modern data architectures
  • Experience troubleshooting distributed systems and cloud platforms
  • Familiarity with Linux operating systems and command-line tools
  • Experience using ticketing systems such as ServiceNow, Jira, or similar

Nice to have

  • Knowledge of Scala or Java
  • Experience with Delta Lake and Unity Catalog
  • Familiarity with CI/CD pipelines and DevOps practices
  • Experience with Git and Azure DevOps
  • Experience supporting enterprise-scale cloud solutions
  • Databricks Certified Data Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Microsoft Certified: Azure Administrator Associate
  • Supporting SaaS or cloud-native platforms
  • Working in 24x7 global support organizations
  • Supporting big data, analytics, or AI/ML workloads
  • Exposure to enterprise customers and mission-critical environments

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