Назад
2 дня назад

Solutions Architect (Data & 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 (Data & AI): Designing and delivering customer-facing data and AI architectures, proof-of-concepts, and integrations on the Databricks platform with an accent on distributed data systems, cloud services, and machine learning. Focus on building reference architectures, prototyping solutions, debugging cloud-based applications, and guiding strategic customer implementations.

Location: Remote in Colorado; Denver, Colorado listed. Candidates in other locations may also be considered. Travel to customers up to 30%.

Salary: $180,000–$247,500 USD per year, plus potential annual bonus, equity, and benefits.

Company

Databricks is a Data and AI company providing a unified platform for analytics, data engineering, machine learning, and AI applications.

What you will do

  • Provide technical leadership to customers evaluating and adopting Databricks Data and AI solutions.
  • Design big data architectures and implement proof-of-concepts for strategic customer, data science, and machine learning projects.
  • Validate integrations with cloud services and third-party applications.
  • Build and present reference architectures, technical guides, and demo applications.
  • Provide escalated support for critical customer operational issues.
  • Promote Apache Spark, Delta Lake, MLflow, and Koalas through developer communities, meetups, conferences, and webinars.

Requirements

  • 4+ years of experience in customer-facing pre-sales, technical architecture, or consulting.
  • Experience designing and architecting distributed data systems.
  • Ability to program in and debug at least one of Python, Scala, Java, SQL, or R.
  • Experience building solutions with AWS, Azure, or GCP.
  • Experience with data engineering, data warehousing, or data science and machine learning technologies.
  • Comfort communicating with diverse audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.

Nice to have

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

Culture & Benefits

  • Collaborative culture focused on teamwork and knowledge sharing.
  • Participation in subject matter expert groups and cross-functional relationships.
  • Comprehensive employee benefits and regional perks.
  • Potential annual performance bonus and equity eligibility.

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