Designated Support Engineer - Spark
Databricks6 hours ago
Seoul, Korea, SouthSenior
Responsibilities
- Manage large strategic accounts and provide a high-touch, proactive support experience.
- Project-manage open support cases and drive ticket closure.
- Coordinate with Engineering, Product, subject-matter experts, and Account teams to resolve customer issues.
- Engage directly in business-impacting incidents and restore customer functionality.
- Work with senior leadership and technical and functional staff to remove roadblocks and mitigate issues.
- Use business judgment, risk avoidance, and subject-matter expertise to coordinate resolution efforts.
- Review customer cases for trends and lead customer roundtables and relationship-building efforts.
- Help customers become self-sufficient in engaging with Databricks Support and its tools.
Requirements
- At least five years of customer-facing experience as a Support Engineer, Technical Account Manager, Designated Support Engineer, or in a related role.
- At least three years of experience designing, developing, testing, and sustaining applications using Python, Java, or Scala.
- Demonstrated ability to project-manage multiple tasks and workstreams through completion.
- Strong analytical and problem-solving skills applicable to distributed big data computing environments.
- Excellent written and verbal communication, executive presence, and ability to explain complex technical concepts to nontechnical stakeholders.
- Native-level Korean fluency and professional working proficiency in English, written and verbal.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided for employees.
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.