Назад
15 часов назад

Solutions Architect - Strategic High Tech (AI)

180 000 - 247 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Solutions Architect - Strategic High Tech (AI) (Big Data and AI): Designing architectures and implementing proof-of-concepts for strategic customers across data engineering, data science, machine learning, and SQL workflows with an accent on distributed data systems, cloud integrations, and technical customer leadership. Focus on building solutions with Databricks APIs and open-source technologies, validating complex integrations, and guiding AI-native customers through implementation.

Location: Remote in the United States, with California and San Francisco listed as encouraged locations. Travel to customers in the assigned region is required.

Salary: $180,000–$247,500 USD annually, with potential performance bonus, equity, and regional benefits.

Company

Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

What you will do

  • Provide technical leadership alongside the sales team to help customers solve business problems with Databricks.
  • Consult on Big Data architectures and implement proof-of-concepts for strategic projects.
  • Develop solutions spanning data engineering, data science, machine learning, and SQL analysis workflows.
  • Validate integrations with public cloud services, internal tools, and third-party applications.
  • Collaborate with Solutions Architects, customer stakeholders, product teams, and customer-facing teams.
  • Promote Databricks open-source projects, including Spark, Delta Lake, and MLflow, within the developer community.

Requirements

  • 5+ years of experience in data engineering, data science, technical architecture, or pre-sales and consulting.
  • Experience building distributed data systems.
  • Programming and debugging experience with Python and SQL.
  • Experience building solutions with AWS, Azure, or GCP.
  • Expertise in data engineering technologies such as Spark, Hadoop, or Kafka, or in data science and machine learning technologies such as pandas, scikit-learn, PyTorch, or TensorFlow.
  • Availability to travel to customers in the assigned region.

Nice to have

  • Degree in Computer Science, Applied Mathematics, Operations Research, or another quantitative discipline.
  • Databricks Certification.

Culture & Benefits

  • Remote work arrangement for the role.
  • Annual performance bonus and equity may be included in the compensation package.
  • Comprehensive benefits and perks are available according to the employee's region.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

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