Назад
4 дня назад

Sr. Solutions Engineer - Digital Native Business (Strategic Accounts)

152 300 - 209 450$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Washington
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
Sr. Solutions Engineer - Digital Native Business (Strategic Accounts) (Data and AI): Leading customer discovery, solution design, proofs-of-concept, and platform demonstrations across data engineering, analytics, and machine learning with an accent on Python, SQL, cloud platforms, and distributed data systems. Focus on architecting production-quality solutions, building live demos, navigating competitive evaluations, and developing technical strategies that expand Databricks platform usage.

Location: Remote in California, Colorado, Oregon, or Washington

Salary: $152,300–$209,450 USD annually

Company

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

What you will do

  • Lead technical discovery and solution design for customer workloads across data engineering, analytics, and machine learning.
  • Build and deliver proofs-of-concept, live demonstrations, notebooks, solution accelerators, and reference architectures.
  • Own technical relationships with customer engineers, data teams, and technical leads.
  • Develop account-level technical strategies with the Account Executive to expand platform consumption.
  • Present Databricks differentiation through hands-on demonstrations and competitive evaluations.

Requirements

  • 4+ years of experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
  • Proficiency in Python and SQL, including debugging, optimization, and production-quality coding.
  • Experience designing and implementing data solutions on AWS, Azure, or GCP.
  • Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
  • Experience leading customer discovery, whiteboarding, architecture reviews, presentations, and technical demonstrations.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

  • Databricks certification or experience with the Databricks Platform.
  • Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow.
  • Background at a data or AI company, cloud provider, or technical consulting firm.

Culture & Benefits

  • Remote work is available within the specified U.S. states.
  • Benefits and perks are offered according to the employee's region.
  • Annual performance bonus and equity may be included in the compensation package.
  • Inclusive hiring practices and a diverse workplace.

Hiring process

  • Recruiter screen and hiring manager screen.
  • Design and architecture interview, followed by a live coding assessment.
  • Build, Demo, Pitch! presentation and reference check.

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 →