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Sr. Solutions Architect - Financial Services (Asset and Wealth Management)

Databricks Mosaic · Chicago, Illinois; Massachusetts; New Jersey; New York · New Jersey

CHECKED 15H AGO

Infrastructureonsitesenior$219k–$301k
Apply on the lab’s site ↗

At a glance

Highlights

  • Drive consumption strategy for the most complex customer engagements.
  • Lead multi-workload platforms, enterprise migrations and AI at scale.
  • Serve as trusted advisor to directors, VPs and C-level on data strategy.

What they offer

  • Annual performance bonus
  • Equity
  • Comprehensive benefits and perks

Ideal candidate

A senior customer-obsessed technical leader who thrives on complex enterprise challenges and executive influence. You love connecting architecture to business outcomes and mentoring others in financial services.

Requirements

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or senior customer-facing technical role
  • Expert-level coding proficiency in Python, SQL, and ideally Spark/PySpark
  • Deep expertise in enterprise data architecture: distributed systems, streaming, lakehouse design, governance, cloud-native platforms
  • Expert-level Databricks Platform knowledge or equivalent depth in competing platforms
  • Declared technical specialization such as real-time architectures, ML/AI platforms, governance, migrations, or industry solutions
  • Proven track record driving consumption growth and platform adoption in large accounts
  • Executive presence with ability to influence Directors, VPs, and C-level stakeholders
  • Experience leading competitive displacements and complex enterprise evaluations
  • Bachelor's or Master's in Computer Science, Engineering, or 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 ↗