Databricks Platform Engineer

PEER2PEER CONSULTING LLC
Middletown Township, NJ, United States
28 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Systems Engineering JIRA User Authentication Microsoft Azure Command-Line Interface Cloud Computing Distributed Systems Monitoring of Systems Identity and Access Management Linux System Administration Networking Basics
+13 more
Reliability Engineering Standard Sql SQL Databases Datadog Google Cloud Enterprise Software Applications Cloud Platform System Grafana Apache Spark Information Technology Splunk Servicenow Databricks

Job description

  • 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.

Requirements

  • 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.

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