Назад
2 дня назад

Senior Solutions Architect (Fintech)

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 (Fintech): Leading complex customer architecture engagements for enterprise data and AI platforms, with an accent on Databricks, distributed systems, real-time processing, lakehouse design, and executive-level technical strategy. Focus on driving platform adoption, designing migrations and AI/ML systems at scale, leading competitive evaluations, and mentoring solutions architects.

Location: Georgia, Massachusetts, New York, North Carolina, or Washington, D.C.; exceptionally well-qualified candidates in other East Coast locations may also be considered.

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

Company

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

What you will do

  • Drive technical and consumption strategies 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 Databricks against incumbent and emerging platforms.
  • Orchestrate DSAs, SSAs, partners, product teams, and other cross-functional contributors.
  • Coach junior solutions architects and contribute to customer-facing 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 for the role.
  • 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.
  • Recognized specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
  • Experience influencing executive stakeholders, driving platform adoption, leading competitive evaluations, and connecting architecture decisions to business outcomes.

Nice to have

  • Databricks certifications.
  • Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading 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 tailored to the employee's region.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive workplace committed to equal employment opportunity and diversity.

Hiring process

  • Recruiter screen followed by a hiring manager screen.
  • Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
  • Reference check.

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