Назад
16 часов назад

Senior Designated Support Engineer (Apache Spark)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Japan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Designated Support Engineer (Apache Spark): Delivering specialized technical support and tailored solutions for strategic digital-native customers with an accent on Apache Spark, data engineering, ML/AI runtimes, and production reliability. Focus on troubleshooting distributed systems, building rapid POCs, optimizing monitoring and performance, and coordinating customer-facing technical resolution with Field, Engineering, R&D, and NOC teams.

Location: Japan

Company

Databricks develops a unified Data and AI Platform used by organizations worldwide to build and scale data, analytics, and AI applications.

What you will do

  • Provide high-touch technical support and tailored solutions for strategic Digital Native Business customers.
  • Perform advanced troubleshooting and root cause analysis across Spark, SQL, Delta, Streaming, and Databricks runtime features.
  • Build rapid proofs of concept and test, deploy, and monitor solutions developed by Databricks Engineering.
  • Develop monitoring requirements, playbooks, and knowledge-base content for Spark, ML, and AI workflows.
  • Train customer engineering and business teams on performance tuning, debugging, and Databricks best practices.
  • Collaborate with Field Engineering, Sales, Product, R&D, and NOC teams during customer engagements and technical presentations.

Requirements

  • 8+ years of experience designing, building, and troubleshooting distributed computing applications.
  • 4+ years delivering production-scale Spark, ML, or AI solutions using Python, Java, or Scala.
  • Hands-on experience with data lakes, SQL databases, cloud data warehousing, and ETL tools such as Snowflake, Redshift, or BigQuery.
  • Deep knowledge of Spark internals, Delta or Iceberg, JVM optimization, memory management, and AI ecosystems.
  • Experience with AWS, Azure, or GCP, plus CI/CD pipelines, monitoring, and alerting systems.
  • Fluent Japanese and business-level English are required.

Nice to have

  • 3–5 years of experience in customer-facing roles such as Technical Account Manager or Solutions Architect.
  • Experience working with senior leadership and cross-functional teams to mitigate production risks and drive customer success.

Culture & Benefits

  • Work with a global data and AI company serving thousands of organizations.
  • Collaborate with Field, Engineering, Product, R&D, and NOC teams.
  • Comprehensive benefits and region-specific employee perks are provided.
  • Inclusive workplace committed to equal employment opportunity.

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