Sr. Solutions Architect - Financial Services (Banking and Payments)

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
About Databricks

Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will act as an expert-level technical leader for the most complex customer engagements, driving consumption strategy and serving as the technical authority and trusted advisor on enterprise data and AI. You will lead architecture engagements, build competitive strategies, orchestrate cross-functional teams, mentor junior SAs, and contribute thought leadership.

Requirements

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership or senior customer-facing technical role
  • Expert-level coding in Python, SQL and ideally Spark/PySpark
  • Deep expertise in enterprise data architecture
  • Expert-level Databricks Platform knowledge or equivalent
  • Declared technical specialization
  • Track record of driving consumption growth in large accounts
  • Executive presence
  • Experience leading competitive displacements
  • Strategic thinking
  • Bachelor's or Master's degree in Computer Science, Engineering or quantitative discipline (or equivalent experience)

Responsibilities

  • Drive technical and consumption strategy for complex customer engagements
  • Own senior-level technical relationships as a trusted advisor on data and AI strategy
  • Lead complex architecture engagements including migrations, real-time systems and AI/ML at scale
  • Mentor others and drive horizontal impact across the team
  • Develop and execute competitive strategies against incumbent and emerging platforms
  • Orchestrate cross-functional teams to deliver enterprise-grade solutions
  • Coach and develop junior SAs
  • Contribute to Field Engineering thought leadership through content, workshops and community engagement

Benefits

  • Eligibility for annual performance bonus
  • Equity

Hiring Process

Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build/Demo/Pitch Presentation, Reference Check

Sr. Solutions Architect - Financial Services (Banking and Payments) at Databricks | JobStash