Databricks предлагает сильный старт в сфере данных и ИИ с практической работой над проектами клиентов и понятным развитием, но обязательный офис в Сан-Паулу и неуказанная зарплата оставляют важные условия неясными.
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Зарплата не указанаТолько офисСовременный стекПерспективная сфераПуть развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Solutions Engineer (AI): Building customer prototypes, demos, reference architectures, and reusable assets on the Databricks Data Intelligence Platform with an accent on big data analytics, customer-facing solution design, and hands-on development. Focus on writing code with Python, Java, or Scala, using SQL and AI-assisted development tools, and translating real-world data challenges into working solutions.
Location: In-office role based in Sao Paulo, Brazil.
Company
Databricks is a data and AI company providing a unified platform for data science, analytics, data applications, and AI applications.
What you will do
Build successful customer relationships and provide technical and business value in collaboration with Account Executives.
Advise customers on architecture, design, implementation, and adoption of the Databricks platform.
Build working prototypes, demos, and reusable assets by writing code and using AI-assisted development tools.
Author reference architectures, how-tos, and demo applications.
Lead workshops, seminars, and meet-ups to support the Databricks community in the region.
Develop toward technical and/or industry specialization.
Requirements
1+ years of technical experience in a customer-facing role.
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience.
Hands-on prototyping and learning-by-doing mindset, with comfort using AI-assisted development tools.
Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
Ability to interact with customers confidently and professionally.
Ability to meet technical training and role-specific outcome expectations within 6 months of hire.
Must be based in Sao Paulo, Brazil and work in the office.
Nice to have
Experience with big data technologies such as Spark, Hadoop, or Kafka and related architectures.
Culture & Benefits
Customer-first, proactive, collaborative, and inclusive culture.
Emphasis on creativity, experimentation, continuous improvement, and learning-by-doing.
Comprehensive employee benefits and perks, with details varying by region.
Equal employment opportunity and inclusive hiring practices.
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