Platform Engineer

Job Title Databricks Platform Engineer Job Location Plano, TX / Middletown, NJ (Onsite 5 days per week) Project Duration 6 Months with potential renewals Required Hours 40 hours per week Required Qualifications and Experience Candidates must possess 5 8+ years of experience in technical support, systems engineering, production support, site reliability, or application support. Hands-on experience supporting or administering the Databricks platform is required. Experience troubleshooting enterprise software or cloud-based platforms is required. Strong experience troubleshooting infrastructure, application, and platform-related issues using systematic root cause analysis. Experience working with Databricks notebooks, clusters, jobs, SQL Warehouses, and workspace administration. Experience troubleshooting Spark job failures and distributed computing environments. Working knowledge of SQL for investigating and resolving technical issues. Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. Experience with monitoring and observability tools such as Splunk, Grafana, Datadog, or Azure Monitor. Strong understanding of system logs, monitoring tools, and technical troubleshooting methodologies. Basic understanding of networking fundamentals, authentication, and identity management. Familiarity with Linux environments and command-line troubleshooting. Experience working with ticketing and incident management systems such as ServiceNow or Jira Service Management. Strong analytical and problem-solving skills with the ability to independently investigate and resolve technical issues. Excellent verbal and written communication skills with a customer-first mindset. A Bachelor's degree in Systems Engineering, Computer Science, Information Technology, or a related technical field is required. Project Scope and Core Responsibilities Serve as the primary technical point of contact for customer-reported Databricks platform and application issues. Engage directly with customers to understand business impact, gather technical information, and accurately identify issues. Troubleshoot infrastructure, application, and platform-related problems through systematic investigation and root cause analysis. Investigate system logs, error messages, monitoring data, and platform behavior to identify and resolve technical issues. Resolve Tier 1 support incidents independently whenever possible. Troubleshoot Databricks notebooks, clusters, jobs, SQL Warehouses, and other platform components. Investigate and resolve Spark job failures and distributed computing issues. Use SQL and available monitoring tools to diagnose customer-reported issues and identify potential causes. Monitor platform health and application behavior using observability tools such as Splunk, Grafana, Datadog, or Azure Monitor. Identify whether issues are related to applications, infrastructure, networking, authentication, identity, or the Databricks platform. Escalate complex technical issues to Tier 2 engineering with detailed troubleshooting notes, findings, and supporting documentation. Document troubleshooting activities, root cause analysis, findings, and resolution steps within the incident management system. Track support cases through resolution while maintaining consistent and professional communication with customers. Work with cross-functional technical teams to drive complex incidents toward resolution. Provide a consultative and customer-focused approach when diagnosing technical issues and recommending solutions.

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