Databricks에서 Apache Spark 전문가로서 전략적 고객을 지원할 Sr. Designated Support Engineer를 채용합니다. 데이터 엔지니어링 및 Spark 내부 구조에 대한 깊은 지식과 3년 이상의 실무 경험이 필수입니다. 고객의 기술적 문제를 해결하고 최적화 방안을 제시하며, 뛰어난 커뮤니케이션 역량으로 고객 성공을 견인하는 역할을 수행합니다.
P-1448
Manage large strategic accounts to provide a high-touch support experience.
Deep-dive into complex Apache Spark and Data Engineering issues, analyzing Spark UI, thread dumps, and driver/executor logs to resolve critical performance bottlenecks.
Advise strategic customers on Data Engineering best practices, including optimizing ETL/ELT pipelines, data modeling, and leveraging the Databricks Lakehouse architecture (Delta Lake/Iceberg).
Project manage all open support cases to expedite support ticket closure.
Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution.
Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays, and mitigate issues.
Effectively use sound business judgment, risk avoidance, and SME resources to coordinate team efforts to solve problems.
Carry out regular reviews of customer cases to identify trends and proactive optimization opportunities.
Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders.
Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools.
Minimum 3 years of dedicated experience in Data Engineering, building, deploying, and maintaining large-scale data pipelines.
Minimum 3 years’ experience designing, developing, testing, and sustaining Python/Java/Scala-based applications required.
Deep, architectural knowledge of Apache Spark internals (including Drivers, Executors, Core Memory Management, DAGs, Catalyst Optimizer, and Tungsten execution engine).
Proven track record of troubleshooting complex Spark and big data issues, such as data skew, out-of-memory (OOM) errors, serialization issues, and slow-running broadcast joins.
Highly effective with project managing multiple tasks and work streams, driving them to conclusion.
Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders
Preference for customer-facing experience as a Support Engineer, Technical Account Manager, DSE, or in related production support areas
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**Benefits
**At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
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