Назад
6 дней назад

Senior Solutions Architect (Data & 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
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Описание вакансии

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TL;DR
Senior Solutions Architect (Data & AI): Driving technical and consumption strategy for complex enterprise data and AI engagements with an accent on distributed systems, real-time platforms, lakehouse architecture, and executive-level technical leadership. Focus on designing multi-workload platforms, leading migrations and AI/ML deployments at scale, influencing platform adoption, and orchestrating cross-functional teams.

Location: Austin, Chicago, Dallas, or Phoenix, United States

Salary: $219,100–$301,300 USD per year

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-level 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 field engineering 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 experience 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 depth in competing platforms.
  • Experience driving consumption growth, platform adoption, 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 top-tier 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 offered according to the employee’s region.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Annual performance bonus and equity may be included in the total compensation package.

Hiring process

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

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