Sr. Designated Support Engineer, Apache Spark™

Навыки

• Big Data
• Data Lake
• ETL / ELT
• Java
• Лидерство
• Решение задач
• Управление проектами

О компании и продукте

• Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.
• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Задачи

• 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

Требования

• 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

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.