Назад
1 час назад

Senior Solutions Architect (Financial Services)

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 (Financial Services) (Databricks Platform/Enterprise Data and AI): Driving technical and consumption strategy for complex financial-services customer engagements with an accent on enterprise data architecture, platform adoption, and executive-level technical influence. Focus on designing distributed, streaming, lakehouse, migration, and AI/ML architectures, leading competitive evaluations, and orchestrating enterprise solution delivery.

Location: United States — Georgia, Illinois, Massachusetts, New York, North Carolina, Texas, Virginia, and Washington, D.C.

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

Company

Databricks develops a unified Data and AI Platform for analytics, applications, agents, lakehouse workloads, and data governance.

What you will do

  • Drive technical and consumption strategies for complex customer engagements, increasing platform adoption and revenue impact.
  • Own senior technical relationships and advise enterprise customers 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 experience is preferred.
  • Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
  • Expert knowledge of the Databricks Platform or equivalent depth in competing platforms.
  • Recognized technical specialization in areas such as real-time architecture, ML/AI platforms, data governance, large-scale migrations, or industry solutions.
  • Experience driving platform adoption, leading competitive displacements, influencing executive stakeholders, and connecting architecture decisions to business outcomes.

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 region-specific benefits and employee perks.
  • Inclusive workplace with equal employment opportunity practices.
  • Potential annual performance bonus and equity.

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.

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 →