Sr. Solutions Architect - Automotive

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements.

You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts.

The Impact You Will Have:

• Drive the technical and consumption strategy for the organisation'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.

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 , Python, SQL, and ideally Spark/PySpark.
• 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 recognised 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.

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).