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🟒 Actively Hiring Β· Posted Today ⏳ Closes in 60 days US Corridor πŸ›‘οΈ US Work Authorization 🏒 FULL_TIME

Sr. Solutions Architect - Automotive

🏒 databricks β€’ πŸ“ Munich β€’ πŸ•’ Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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OP-VERIF-85012E76 βœ“ Passed Inspection

This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified IRS EIN & State Corporate Entity standing confirmed
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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match US Work Authorization

Transatlantic Cost of Living & Purchasing Power Benchmark

Verified Analytics
Location Base
Munich
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD β‰ˆ Β£0.79 GBP Living Standard
Direct corporate benchmark
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Position Overview & Specifications

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 archetypeβ€”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.Β 

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 β€” 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 β€” 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

What We Look For

  • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
  • Expert-level coding proficiency β€” 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 β€” 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 β€” 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 β€” 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

Nice to Have:

  • 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 β€” including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 β€” 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.

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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:

πŸ‡ΊπŸ‡Έ H-1B Specialty Occupation & Cap

Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.

⚑ TN / O-1 / STEM OPT Pathways

Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.

βš–οΈ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for Sr. Solutions Architect - Automotive roles across databricks's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
databricks

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Location: Munich
Eligibility: US Work Authorization
Schedule: FULL_TIME
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