Solutions Architect Digital Natives & Scaleups Italy

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 own the technical strategy for Databricks' core product customers, mainly in the Digital Native segment, from discovery through production. You will lead architecture discussions, advise customer technical leaders, win competitive deals, develop a specialization, and give product feedback. The role is hybrid in the Milan region.

Requirements

  • 6+ years in solutions architecture, data engineering, technical pre-sales, or senior technical role
  • Strong Python and SQL coding with live coding ability
  • Deep expertise in distributed data systems architecture
  • Proficiency on the Databricks Platform
  • Ability to lead architecture discussions with senior stakeholders
  • Production deployments on AWS, Azure, or GCP
  • Track record of driving platform adoption
  • Excellent communication skills
  • Fluency in Italian and English
  • Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)
  • Located in Milan region within commutable distance

Responsibilities

  • Own end-to-end technical strategy for core product customers in the Digital Native segment
  • Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics
  • Serve as trusted technical advisor to customer architects, engineering leads, and Directors
  • Drive technical wins in competitive scenarios
  • Develop an emerging technical specialisation
  • Orchestrate cross-functional resources to deliver solutions
  • Provide structured product feedback

Benefits

  • Annual performance bonus eligibility
  • Equity

Hiring Process

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