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1 час назад

Sr. 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
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Описание вакансии

Текст:
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TL;DR
Sr. Solutions Architect (Financial Services): Leading complex customer architecture engagements for enterprise data and AI platforms in banking and payments with an accent on Databricks, distributed systems, real-time processing, lakehouse design, and data governance. Focus on driving platform adoption, designing large-scale migrations and AI/ML systems, influencing executive stakeholders, and orchestrating cross-functional delivery.

Location: Georgia, Massachusetts, New York, North Carolina, or Washington, D.C.

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

Company

Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data, analytics, and AI applications.

What you will do

  • Drive technical and consumption strategies for complex enterprise customer engagements.
  • Advise senior stakeholders on enterprise data and AI strategy while building executive-level relationships.
  • 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.
  • Coordinate 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 activities.

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 interview includes live coding and a platform build.
  • 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 and demonstrated ability to learn quickly.
  • 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 presentations, or open-source contributions.
  • Industry expertise with executive-level credibility in financial services or another relevant vertical.

Culture & Benefits

  • Annual performance bonus, equity, and regional employee benefits may be included in the compensation package.
  • Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
  • Access to a global organization with more than 30 offices and customers worldwide.

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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