Назад
Company hidden
5 дней назад

Senior Solutions Architect (Databricks)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Solutions Architect (Databricks): Providing technical leadership and architectural guidance for big data projects at Fortune 500 companies with an accent on Apache Spark and Databricks platform implementation. Focus on designing production-level workloads, optimizing end-to-end data pipelines, and ensuring strategic alignment with customer business goals.

Location: Must be based in Brazil (Remote role with significant time zone overlap required).

Company

hirify.global is a Budapest-based company with over 250 employees, specializing in Business Intelligence, data analytics, and application development for international clients across various industries.

What you will do

  • Provide post-sales technical leadership to guide strategic customers in big data project design and implementation.
  • Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads.
  • Identify and drive new initiatives to help customers turn data into actionable business value.
  • Deliver tutorials, training sessions, and presentations to promote community adoption of Databricks.
  • Collaborate with customers on technical roadmaps and strategic platform expansion.

Requirements

  • Advanced English skills (written and spoken) are required.
  • Must be based in Brazil with significant time zone overlap with clients.
  • Over 5 years of experience as a Software or Data Engineer with expertise in query and performance tuning.
  • Hands-on technical expertise with Apache Spark and Databricks (multiple large-scale projects).
  • Databricks Certified Data Engineer Professional certification.
  • Proficiency in Python, Scala, or Java and experience with cloud infrastructure (AWS, Azure, or GCP).

Nice to have

  • Experience in Data Science/ML Engineering including model lifecycle and MLFlow.
  • Background in consulting or pre-sales/post-sales technical architecture guidance.

Culture & Benefits

  • Diverse projects across technical and business domains.
  • Continuous support through a dedicated mentor from day one.
  • Strong focus on learning and development opportunities.
  • Supportive corporate culture based on social cohesion and mutual respect.
  • Flexible working environment that values work-life balance.

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 →