Databricks Platform Engineer

Peer Consulting Resources Inc.; New Jersey; On-site; USD 83,000 - 124,000; Full time

Job summary

Peer Consulting Resources Inc. seeks a Databricks Platform Engineer for a 6-month on-site engagement in Plano, TX / Middletown, NJ. The role requires 40 hours per week and hands-on Databricks administration.

You will serve as the primary technical contact to diagnose, troubleshoot, and resolve platform and application issues, collaborate with cross-functional teams, and document findings and resolutions in the incident system.

Qualifications

• 5–8 years experience in technical support, systems engineering, production support, site reliability, or application support.
• Hands-on experience supporting or administering the Databricks platform.
• Experience troubleshooting enterprise software or cloud-based platforms.
• Strong experience with root cause analysis and systematic troubleshooting methods.
• Experience 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/observability tools such as Splunk, Grafana, Datadog, or Azure Monitor.
• Strong understanding of system logs, monitoring tools, and troubleshooting methodologies.
• Basic understanding of networking fundamentals, authentication, and identity management.
• Familiarity with Linux environments and command-line troubleshooting.
• Experience with ticketing systems such as ServiceNow or Jira Service Management.
• Strong analytical and problem-solving skills with a customer-first mindset.
• A Bachelor's degree in Systems Engineering, Computer Science, Information Technology, or a related technical field is required.

Responsibilities

• Serve as the primary technical point of contact for customer-reported Databricks platform and application issues.
• Engage with customers to understand business impact, gather technical information, and 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 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 relate to applications, infrastructure, networking, authentication, identity, or the Databricks platform.
• Escalate complex issues to Tier 2 with detailed notes and documentation.
• Document troubleshooting activities, root cause analysis, findings and resolutions in the incident system.
• Track cases through resolution with professional customer communication.
• Collaborate with cross-functional teams to drive incidents toward resolution.
• Provide a consultative, customer-focused approach when diagnosing issues and recommending solutions.

Skills

Databricks platform

SQL

Linux

Cloud platforms

Monitoring tools

Root cause analysis

Technical troubleshooting

Customer communication

Education

Bachelor's degree in Systems Engineering/CS/IT or related field

Tools

Databricks notebooks

Databricks clusters

Databricks jobs

SQL Warehouses

Workspace administration

Job description

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.