Назад
6 дней назад

Senior Solutions Architect (Databricks, AI)

219 100 - 301 300$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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/AI): Leading complex enterprise data and AI architecture engagements across migrations, real-time systems, lakehouse platforms, and AI/ML at scale with an accent on technical strategy, platform adoption, and executive stakeholder influence. Focus on designing distributed architectures, driving competitive displacements, orchestrating cross-functional delivery, and mentoring solutions architects.

Location: Atlanta, Georgia; Charlotte, North Carolina; Southeast, United States

Salary: $219,100–$301,300 USD annually

Company

Databricks provides a unified Data and AI Platform for building and scaling data applications, analytics, and AI agents.

What you will do

  • Drive technical and consumption strategy for complex enterprise customer engagements.
  • Own senior technical relationships and advise executives on data and AI strategy.
  • Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
  • Develop competitive strategies and position the Databricks Platform against competing solutions.
  • Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
  • Mentor junior solutions architects and contribute to customer-facing thought leadership.

Requirements

  • 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
  • Expert coding proficiency in Python and SQL; Spark or PySpark is preferred.
  • Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
  • Expert-level Databricks Platform knowledge or equivalent expertise with competing platforms.
  • Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
  • Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.

Nice to have

  • Databricks certifications.
  • Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another leading data and AI company.
  • Published thought leadership, conference talks, or open-source contributions.
  • Industry expertise with executive-level domain credibility.

Culture & Benefits

  • Comprehensive benefits and perks are available, with details varying by region.
  • Inclusive workplace committed to equal employment opportunity.
  • Compensation may also include an annual performance bonus, equity, and additional benefits.

Hiring process

  • Recruiter screen followed by a hiring manager screen.
  • Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
  • 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 →