✦ Luna Orbit — Data & Analytics

Senior Technical Solutions Engineer, Platform

at Databricks

📍 Dallas, Texas Hybrid Posted March 10, 2026
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Position Details

Type Full-Time
Experience mid
Exp. Years 4+ years
Education Technical degree or the equivalent experience
Category Data & Analytics

About this role

This role involves providing technical support and developing applications on the Databricks platform, supporting customer data projects, and optimizing big data workflows.

Key Responsibilities

  • Support Databricks platform
  • Develop data applications
  • Troubleshoot technical issues
  • Optimize performance
  • Assist customers

Technical Overview

Focus on Python, Java, Scala, SQL, Linux/Unix, distributed big data computing, and cloud platforms (Azure, AWS, GCP).

Ideal Candidate

The ideal candidate is a mid-level data engineer or developer with at least 4 years of experience in Python, Java, or Scala, and strong SQL and Linux/Unix skills. They should have experience working with cloud platforms and distributed big data environments.

Must-Have Skills

4+ years designingbuildingtestingand maintaining Python/Java/Scala applicationsExpert level knowledge in PythonStrong experience with SQL-based databasesLinux/Unix administration skillsExperience with AWSAzureor GCP

Tools & Platforms

DatabricksAWSAzureGCP

Required Skills

PythonJavaScalaSQLLinux/UnixDistributed Big Data ComputingDatabricksAzureAWSGCP

Hard Skills

PythonJavaScalaSQLLinux/UnixDistributed Big Data ComputingDatabricks PlatformAzureAWSGCP

Soft Skills

CommunicationProblem-SolvingCustomer FocusTeamworkTechnical Support

Industry & Role

Industry Technology / SaaS / Data & Analytics
Job Function Provide technical support and develop solutions on Databricks platform for customer data needs

Keywords for Your Resume

PythonJavaScalaSQLLinux/UnixDistributed Big Data ComputingDatabricksAzureAWSGCP

Deal Breakers

Less than 4 years of relevant experience, No experience with cloud platforms, Lack of expertise in Python or SQL

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