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Sr. Solutions Architect - Automotive

Databricks Mosaic · Munich, Germany

CHECKED 15H AGO

Infrastructureonsitesenior
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At a glance

Highlights

  • Lead the most complex customer engagements driving platform adoption and growth.
  • Serve as trusted advisor to executives on enterprise data and AI strategy.
  • Contribute thought leadership via workshops, content and community engagement.

Ideal candidate

Senior technical leader with executive presence who thrives on complex enterprise challenges and mentoring others. Passionate about data and AI strategy, competitive wins, and translating architecture into business impact in automotive.

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 at scale, streaming, lakehouse design, governance and cloud-native platforms
  • Expert-level Databricks platform knowledge or equivalent depth in competing platforms
  • Declared technical specialization e.g. 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
  • Strong strategic thinking connecting architecture decisions to business outcomes
  • Bachelor's or Master's in Computer Science, Engineering or quantitative discipline or equivalent experience
  • Ability to travel on a weekly basis
  • Full professional proficiency in English and German (nice to have)
  • Automotive industry expertise with executive-level credibility (nice to have)
hiring process
Live coding assessment and platform build during the interview

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 ↗