Назад
6 дней назад

Partner Solutions Architect (Data & AI)

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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Partner Solutions Architect (Data & AI): Enablement of consulting and system integrator partners on the Databricks Data + AI Platform, with an accent on cloud architecture, big data analytics, and hands-on Apache Spark programming. Focus on designing data architectures, integrating cloud ecosystems, leading technical workshops, and developing partner technical champions.

Location: Tokyo, Japan

Company

Databricks provides a unified Data + AI Platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Enable consulting and system integrator partners to evaluate and adopt the Databricks platform.
  • Develop technical champions within top partner organizations.
  • Lead workshops, seminars, and meet-ups for the partner technical community.
  • Advise on big data analytics architecture and design.
  • Create technical solutions and publish technical blog content.
  • Help customers achieve data-driven outcomes and integrate Databricks into enterprise ecosystems.

Requirements

  • 5+ years of pre-sales or post-sales experience with external clients or partners.
  • Customer-facing pre-sales or consulting experience with strength in data engineering or data science.
  • Experience presenting technical concepts, leading demonstrations, and whiteboarding.
  • Experience designing and implementing architectures on AWS, Azure, or GCP.
  • Coding experience with SQL, Python, Scala, or Java.
  • Full professional proficiency in Japanese is mandatory. Business-level English proficiency is preferred.

Nice to have

  • Expertise in data engineering technologies such as Apache Spark, Hadoop, or Kafka.
  • Experience with data warehousing, including OLTP, OLAP, or DSS.
  • Experience with data science and machine learning technologies such as pandas, scikit-learn, or HPO.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.

Culture & Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.
  • Commitment to an inclusive workplace and equal employment opportunity.

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