Sr. Solutions Architect - Automotive
Databricks2 months ago
Munich, GermanySenior
Responsibilities
- Drive technical and consumption strategies for complex customer engagements to increase platform adoption and revenue growth.
- Own senior-level technical relationships and advise executives on enterprise data and AI strategy.
- Lead complex architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Serve as a Databricks Platform expert with a declared technical specialization and mentor others across the team and region.
- Develop competitive strategies and lead competitive displacements and complex enterprise evaluations.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach and develop junior solutions architects on technical depth, customer engagement, and use-case prioritization.
- Create customer-facing content, workshops, and community contributions for Field Engineering thought leadership.
Requirements
- At least 8 years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL, ideally including Spark or PySpark, with successful completion of a live coding assessment and platform build during the interview.
- Deep expertise in enterprise data architecture, distributed systems, streaming and real-time systems, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert knowledge of the Databricks Platform or equivalent depth with competing platforms and demonstrated ability to learn rapidly.
- Recognized technical specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven ability to drive consumption growth and platform adoption in large accounts and connect architecture decisions to business outcomes and revenue impact.
- Ability to influence directors, vice presidents, and C-level stakeholders and lead complex enterprise evaluations.
- Bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Ability to travel weekly.
- Professional proficiency in English and German, automotive industry expertise, Databricks certifications, experience at Databricks, Snowflake, AWS, Google, or Microsoft, and published thought leadership are preferred.
Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- The role requires weekly travel.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.