Назад
8 дней назад

Solutions Architect - Digital Native Business (Fintech)

180 000 - 247 500$
Формат работы
remote (только USA)/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
Solutions Architect - Digital Native Business (Fintech) (Databricks, Data & AI): Leading technical strategy and designing production-grade data, ML/AI, and real-time analytics solutions for digital-native fintech customers with an accent on distributed systems, cloud-native platforms, and platform adoption. Focus on architecture trade-off analysis, building scalable pipelines and streaming architectures, developing a technical specialization, and demonstrating solutions through live coding and technical presentations.

Location: New Jersey; remote work available from Illinois, Massachusetts, New York, North Carolina, Pennsylvania, or Texas.

Salary: $180,000–$247,500 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 and AI applications, analytics, and agents.

What you will do

  • Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
  • Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
  • Advise customer architects, engineering leads, and directors on technical strategy and platform adoption.
  • Build custom solutions to demonstrate Databricks differentiation in competitive scenarios.
  • Develop a technical specialization and coordinate DSAs, SSAs, and partners for complex customer engagements.
  • Provide structured customer feedback to influence product direction.

Requirements

  • 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
  • Strong Python and SQL skills, including live coding, debugging, and solution building.
  • Deep knowledge of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
  • Experience with Databricks or the ability to become proficient rapidly, including developing specialization in areas such as streaming, ML/AI, governance, or migrations.
  • Experience leading architecture discussions with senior stakeholders and deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

  • Databricks certifications in data engineering, ML, or platform technologies.
  • Experience with Snowflake, AWS native services, or Azure Synapse.
  • Background at a data/AI company or cloud provider.
  • Industry experience in financial services, insurance, banking, healthcare, pharmaceuticals, biotechnology, or medical devices.

Culture & Benefits

  • Comprehensive benefits and perks, with details varying by region.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Compensation may include annual performance bonus, equity, and regional benefits.

Hiring process

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

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