Senior Technical Solutions Engineer (Platform)
Databricks10 months ago
Bengaluru, IndiaSenior
Responsibilities
- Serve as the primary technical contact for escalated Databricks Data Intelligence platform issues and provide expert troubleshooting, diagnostics, and resolution.
- Work directly with customers to understand technical problems, communicate solutions, and maintain a positive customer experience.
- Lead high-priority incident resolution, coordinate across teams, perform root cause analyses, and develop preventive measures.
- Collaborate with engineering, product management, DevOps, and customer-facing teams to identify recurring issues and improve the platform.
- Create documentation, maintain knowledge bases, and develop training materials for support engineers.
- Monitor platform performance, analyze metrics and logs, and implement optimizations to improve stability and efficiency.
- Manage platform upgrades and patches while minimizing service disruption and maintaining system integrity.
- Drive support-process and platform-improvement initiatives and use customer feedback to guide enhancements.
Requirements
- Minimum of 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 GCP; data pipelines; distributed computing; and Unix/Linux administration.
- Familiarity with DevOps practices, log analysis, monitoring tools, data governance, and compliance requirements.
- Experience with additional big data technologies such as Hadoop, Kafka, or NoSQL databases is preferred.
- Familiarity with automation tools and CI/CD pipelines is preferred.
- Strong analytical, troubleshooting, communication, customer-management, and cross-functional collaboration skills.
- Bachelor’s degree in Computer Science, Engineering, or a related field is required; an advanced degree or relevant certifications is desirable.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Opportunities for professional development and career advancement.
- Collaborative team culture in an innovative environment.
- The role involves working in the EMEA timezone.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.