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обновлено 17 дней назад

Staff Designated Support Engineer (Apache Spark)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Staff Designated Support Engineer (Apache Spark): Delivering specialised, high-touch technical support and tailored solutions for strategic digital-native customers with an accent on Apache Spark, distributed data systems, and ML/AI runtimes. Focus on troubleshooting production performance issues, building rapid POCs, developing monitoring and playbooks, and coordinating Field, Engineering, R&D, and customer teams.

Location: Sydney, Australia

Company

Databricks provides a unified Data + AI Platform used by more than 20,000 organisations worldwide to build and scale data, AI, analytics, and agent applications.

What you will do

  • Provide high-touch specialised support and tailored technical solutions for strategic Digital Native Business customers.
  • Perform advanced troubleshooting and root cause analysis for performance and reliability issues across Spark, SQL, Delta, Streaming, and Databricks runtime features.
  • Define continuous monitoring requirements and collaborate with R&D and NOC teams to optimise customer environments.
  • Build rapid POCs and test, deploy, and monitor solutions developed by Databricks Engineering for customer challenges.
  • Create playbooks and maintain knowledge bases covering Spark, ML, and AI workflows.
  • Train customer teams, advocate for customers in business reviews, and collaborate with Field Engineering, Sales, and Product during customer engagements.

Requirements

  • 10+ 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 expertise 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 optimisation, memory management, and AI ecosystems including machine learning, deep learning, and generative AI.
  • Experience with AWS, Azure, or GCP, plus CI/CD pipelines, monitoring, and alerting systems.
  • 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, with strong communication, problem-solving, collaboration, and leadership skills.

Culture & Benefits

  • Work with Field, Engineering, R&D, NOC, Sales, Product, and customer teams.
  • Participate in customer engagements, technical presentations, and business review meetings as a trusted technical advisor.
  • Access comprehensive employee benefits and perks, with details varying by region.
  • Join a diverse and inclusive workplace committed to equal employment opportunity.

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