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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: Connecticut, Massachusetts, New York, North Carolina, St. Louis, Missouri, or Washington, D.C.

Salary: $219,100–$301,300 USD annually; total compensation may also include an annual performance bonus, equity, and benefits.

Company

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

What you will do

  • Drive technical and consumption strategy for complex customer engagements, influencing platform adoption and revenue growth.
  • Own senior-level 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 lead complex enterprise evaluations and platform displacements.
  • Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
  • Mentor junior solutions architects and contribute to field-engineering thought leadership through content, 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 strongly 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 expertise in competing platforms.
  • Recognized technical specialization in areas such as real-time architectures, 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 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 employee benefits and region-specific perks.
  • Potential eligibility for an annual performance bonus and equity.
  • Inclusive hiring practices and a commitment to diversity and equal opportunity.

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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