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20 часов назад

Solutions Engineer (Big Data)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solutions Engineer (Big Data): Designing and delivering customer-centric technical solutions for enterprise data management with an accent on big data ecosystems and generative AI. Focus on translating complex customer requirements into scalable architectures and driving technical sales strategies.

Location: Sydney, Australia (Hybrid)

Company

hirify.global empowers enterprises to transform complex data into actionable insights using open-source innovation and high-scale data management.

What you will do

  • Lead customer use case discovery and requirements workshops to design tailored technical solutions.
  • Create and present technical roadmaps, proposed architectures, and business outcomes to client technical teams.
  • Define the technical selling approach for accounts and collaborate on penetration and success strategies.
  • Act as a technical evangelist through blogs, meetups, and industry events.
  • Mentor associate engineers and contribute to the creation of internal enablement materials.
  • Translate customer feedback into actionable product roadmap items for the product team.

Requirements

  • Bachelor’s Degree in a Technical Field.
  • 3-5+ years of professional experience in a similar solutions engineering or pre-sales position.
  • Proven expertise in Enterprise Software and Big Data environments.
  • Solid hands-on experience with Generative AI and strong Linux skills.
  • Proficiency in SQL and familiarity with Java or .NET.
  • Must be based in or able to work from Sydney, Australia.

Nice to have

  • Deep knowledge of the Big Data ecosystem (HDFS, YARN, Spark, Impala, Kudu, Solr).
  • Experience with streaming technologies such as Kafka, Flink, or NiFi.
  • Hands-on experience with NoSQL databases (HBase, Cassandra, MongoDB) or EDW (Teradata, Netezza).
  • Experience with Data Science and ML frameworks including Python and R.
  • Familiarity with integration products like Talend, Informatica, or Tableau.

Culture & Benefits

  • Flexible WFH policy and dedicated "Unplugged Days" to support work-life balance.
  • Generous Paid Time Off (PTO) and paid volunteer time.
  • Comprehensive mental and physical wellness programs.
  • Phone and internet reimbursement program.
  • Access to continuous career development and competitive benefits packages.

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