Назад
7 часов назад

Sr. Solutions Architect - Agencies (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

Текст:
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TL;DR
Sr. Solutions Architect - Agencies (Data & AI): Leading complex customer engagements and designing enterprise data and AI architectures with an accent on distributed systems, real-time platforms, lakehouse patterns, governance, and cloud-native technologies. Focus on driving Databricks adoption, orchestrating cross-functional teams, influencing executive stakeholders, and solving large-scale migration and AI/ML architecture challenges.

Location: Northeast, United States

Salary: $219,100–$301,300 USD annually, plus potential performance bonus, equity, and regional benefits.

Company

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

What you will do

  • Drive technical and consumption strategies for complex customer engagements, influencing platform adoption and revenue growth.
  • Own senior technical relationships and advise enterprise stakeholders 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 Databricks against incumbent and emerging platforms.
  • Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
  • Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community engagement.

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. The process includes a live coding assessment and platform build.
  • Deep expertise in enterprise data architecture, distributed systems, streaming, lakehouse design, data governance, and cloud-native platforms.
  • Expert-level Databricks Platform knowledge or equivalent expertise in competing platforms with demonstrated ability to learn quickly.
  • Recognized technical specialization in areas such as real-time architecture, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
  • 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 employee benefits and region-specific perks.
  • Annual performance bonus and equity may be included in the total compensation package.
  • Inclusive workplace with equal employment opportunity standards.

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.

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