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обновлено 9 месяцев назад

Staff Designated Support Engineer (Big Data)

141 700 - 250 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Staff Designated Support Engineer (Big Data): Deliver high-touch specialized support and tailored technical solutions for large strategic customers using Apache Spark and data technologies with an accent on troubleshooting, performance tuning, and AI/ML runtime capabilities. Focus on designing and deploying scalable Spark/ML/AI solutions, root cause analysis, and collaborating cross-functionally to solve complex production issues.

Location: San Francisco Bay Area, CA office with 50% travel to client location in San Francisco

Salary: $141,700–$250,800 USD

Company

Databricks is a leading data and AI company, creators of Apache Spark, Delta Lake, and MLflow, serving over 10,000 organizations worldwide including more than 50% of the Fortune 500.

What you will do

  • Perform advanced troubleshooting and root cause analysis for Spark, SQL, Delta, Streaming, and Databricks runtime features.
  • Collaborate with R&D and NOC teams to optimize customer environments and implement continuous monitoring.
  • Build rapid POCs and deploy solutions showcasing advanced Spark, ML, and AI capabilities aligned with customer goals.
  • Develop and maintain playbooks and knowledge bases for common issues and solutions.
  • Train customer engineering and business teams on best practices in performance tuning and debugging.
  • Advocate for customers and collaborate with Field Engineering, Sales, and Product teams during engagements.

Requirements

  • Must have 8–12 years experience in distributed computing and 4+ years with production-scale Spark/ML/AI solutions using Python, Java, or Scala.
  • Hands-on expertise with Data Lakes, SQL databases, and cloud data warehousing tools like Snowflake, Redshift, BigQuery.
  • Deep knowledge of Spark internals, JVM optimization, and AI ecosystems including Machine Learning and Generative AI.
  • Experience with AWS, Azure, or GCP and building/managing CI/CD pipelines and monitoring systems.
  • 3–5 years customer-facing experience with strong communication and problem-solving skills.
  • Proven ability to lead cross-functional teams and drive customer success.

Culture & Benefits

  • Comprehensive benefits and perks tailored to employee needs.
  • Commitment to diversity and inclusion ensuring equal employment opportunity.
  • Global presence with headquarters in San Francisco and offices worldwide.

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