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Solutions Architect - Digital Native Business (Fintech)

Databricks Mosaic · New Jersey; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - North Carolina; Remote - Pennsylvania; Remote - Texas · Remote - California

CHECKED 14H AGO

Infrastructureremotesenior$180k–$248k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own technical strategy for fintech customers from discovery to production.
  • Lead architecture for scalable data, ML/AI and real-time analytics solutions.
  • Advise customer architects while shaping product direction with feedback.

What they offer

  • annual performance bonus
  • equity
  • comprehensive benefits

Ideal candidate

A strategic, customer-obsessed architect who thrives on guiding fintech innovators and turning complex data and AI ideas into business value and production impact.

Requirements

  • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
  • Strong coding proficiency in Python and SQL with live coding, debugging, and solution-building skills
  • Deep expertise in distributed data systems architecture including scalable pipelines, streaming, lakehouse patterns, and cloud-native platforms
  • Proficient on the Databricks Platform with a developing technical specialization
  • Proven ability to lead architecture discussions with senior technical stakeholders
  • Experience with production deployments on public cloud (AWS, Azure, or GCP) including infrastructure, security, and governance
  • Track record of driving platform adoption and consumption growth within accounts
  • Excellent communication skills translating complex architectures into business value
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline or equivalent experience
hiring process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
Apply on the lab’s site ↗