You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Databricks

Sr. Solutions Architect - Automotive

  • Office
  • 6+ years
  • English (B2)
  • German (B2)

Salary

Not stated

Similar roles pay €125K - 150K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

FEQ327R414

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.

The Impact You Will Have

Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.

Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy

Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale

Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team

Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms

Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions

Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization

Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement

Requirements

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
  • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
  • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
  • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
  • Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
  • Proven track record of driving consumption growth and platform adoption in large accounts
  • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
  • Experience leading competitive displacements and complex enterprise evaluations
  • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
  • Ability to travel on a weekly basis
  • Full professional proficiency in English and German
  • Automotive industry expertise with executive-level domain credibility
  • Databricks certifications
  • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
  • Published thought leadership (blogs, conference talks, open source contributions)
  • About Databricks
  • Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

Benefits

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .
  • Our Commitment to Diversity and Inclusion
  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
  • Compliance
  • If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Where you’d work

From the office

About the company

Databricks

Office in Munich, Germany

Also hiring in Berlin, Germany, Amsterdam, Netherlands, San Francisco, United States and 23 more places

27 of their 130 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 3 red flags

Still hiring?

13 checks

1 red flag

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Requirements
Tech stack
  • Python
  • SQL
  • AWS
Seniority
Senior
Specialty
Solutions Engineering
Region
Europe
Pay period
Annual
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Seniority
Senior
Experience
8+ years
Tech stack
  • Python
  • SQL
  • AWS

Location

Work model
Office
Region
Europe
Office
  • Munich, Germany

Compensation

Salary
Salary by agreement
Pay period
Annual

Requirements

Languages
  • English (B2)
  • German (B2)

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Solutions Architect

    Salary by agreement

    • Hybrid · Dublin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Solutions Architect

    Salary by agreement

    • Office · Melbourne
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Applied AI Engineer

    $280,000 - 320,000 / year

    • Office · Washington, Dc
    • Mid-Level
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Sales Engineer

    Salary by agreement

    • Hybrid · New York City, San Francisco
    • Mid-Level

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason