Databricks 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

• 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.

• 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.