Senior Technical Solutions Engineer

Responsibilities

• Serve as the primary technical contact for escalated Databricks Data Intelligence platform issues.
• Troubleshoot, diagnose, and resolve complex problems affecting system performance and reliability.
• Engage directly with customers to understand technical issues and provide clear, actionable solutions.
• Lead high-priority incident resolution, coordinate across teams, perform root-cause analyses, and develop preventive measures.
• Collaborate with engineering, product management, and DevOps teams to identify recurring issues and improve the platform.
• Create and maintain support documentation, knowledge-base content, and training materials.
• Monitor platform performance metrics and implement stability and efficiency improvements.
• Manage deployment of platform upgrades and patches with minimal service disruption.
• Propose initiatives to improve platform capabilities and support processes.
• Collect and analyze customer feedback to drive continuous improvement.

Requirements

• 7+ years of hands-on experience in technical support or engineering involving Databricks, cloud data platforms, or big data technologies.
• Deep understanding of Databricks architecture and Apache Spark.
• Experience with AWS, Azure, or Google Cloud.
• Experience designing and managing data pipelines and distributed computing systems.
• Proficiency in Unix/Linux administration, DevOps practices, log analysis, and monitoring tools.
• Strong analytical, troubleshooting, communication, customer-service, and collaboration skills.
• Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice-to-haves

• Experience with Hadoop, Kafka, or NoSQL databases.
• Familiarity with automation tools and CI/CD pipelines.
• Understanding of data governance and compliance requirements.
• Advanced degree or relevant certifications.