Databricks Platform Engineer (Onsite, 6-Month Contract)

Peer Consulting Resources Inc.

New Jersey

On-site

USD 83,000 - 124,000

Full time

14 days+

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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.