Роль четко определена с акцентом на поддержку партнеров в модной области ИИ, но отсутствие информации о зарплате является недостатком.
Кликните для подробной информации
Нет информации о зарплатеТрендовый доменЧеткие обязанности
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
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.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →