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Job Description

Azure & Databricks Platform Support Engineer (SSr to Sr)

Job Summary

We are seeking an experienced Azure & Databricks Platform Support Engineer to manage, monitor, and optimize enterprise data platforms built on Azure and Databricks. The role involves ensuring platform reliability, performance, security, and operational excellence while supporting data engineering workloads, analytics platforms, and business-critical data pipelines. We are looking for a strong candidate who can work independently with customer.

Key Responsibilities




- Monitor and support Azure Databricks workspaces, clusters, jobs, workflows, and Delta Lake environments.
- Provide L2/L3 support for Azure Data Platform services including Azure Databricks, Azure Data Factory (ADF), Azure Synapse, Azure Data Lake Storage (ADLS), Azure Key Vault, and Azure DevOps.
- Troubleshoot and resolve production incidents, job failures, performance bottlenecks, and data pipeline issues.
- Monitor scheduled workflows, triggers, pipelines, and batch processes ensuring SLA compliance.
- Implement proactive monitoring, alerting, logging, and observability using Azure Monitor, Log Analytics, and Application Insights.
- Manage platform security, RBAC, service principals, secrets, and data access controls.
- Support deployment automation through CI/CD pipelines using Azure DevOps.
- Perform platform maintenance activities including upgrades, patching, cluster optimization, and configuration management.
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📌 Azure Databricks Engineer (Buenos Aires)
🏢 Capgemini
📍 Buenos Aires