Назад
1 день назад

Specialist Solutions Architect (Data Engineering)

Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Specialist Solutions Architect (Data Engineering): Guiding customers through cloud data engineering transformations and lakehouse architecture with an accent on production-level data pipelines and workload optimization. Focus on designing cost-efficient high-performance workloads and migrating legacy systems to modern cloud platforms.

Location: Sydney, Australia

Company

Databricks is a leading data and AI company that provides a Data Intelligence Platform to unify data, analytics, and AI for thousands of organizations worldwide.

What you will do

  • Provide technical leadership to strategic customers for successful implementation of big data projects and large-scale warehousing workloads.
  • Architect production-level data pipelines, including end-to-end load performance testing and optimization.
  • Serve as a deep technical expert in data lake technology, big data streaming, or big data ingestion and workflows.
  • Collaborate with Solution Architects on advanced technical sales, custom proof-of-concepts, and workload sizing.
  • Create tutorials and training materials to drive community adoption through hackathons and conferences.

Requirements

  • 8+ years of technical experience with deep expertise in software/data engineering, data warehousing, and data observability.
  • Hands-on experience with Spark, Kafka, and performance tuning of big data solutions.
  • Proven track record of migrating workloads from traditional EDW systems (e.g., Snowflake, Redshift) to modern cloud platforms.
  • Production programming proficiency in SQL and at least one of Python, Scala, or Java.
  • 3+ years of customer-facing experience in pre-sales or post-sales technical roles.
  • Must be based in Sydney, Australia; willingness to travel up to 30%.

Culture & Benefits

  • Comprehensive regional benefits and perks.
  • Access to mentorship, continuous learning, and internal training programs.
  • Opportunity to contribute to a global community of data and AI experts.
  • Inclusive work environment committed to diversity and equal opportunity.

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