Sr. Solutions Architect - FSI
Databricks2 months ago
Munich, GermanySenior
Responsibilities
- Drive technical and consumption strategy for complex customer engagements and influence 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 an expert on the Databricks Platform and apply a declared technical specialization 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.
- Contribute to field engineering thought leadership through customer-facing content, workshops, and community engagement.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert-level coding proficiency in Python and SQL, ideally with Spark/PySpark; candidates complete a live coding assessment and platform build during the interview.
- Deep expertise in enterprise data architecture, distributed systems at scale, streaming and real-time systems, lakehouse design patterns, data governance frameworks, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms with demonstrated ability to learn rapidly.
- Recognized depth in a technical specialization such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
- Proven success driving consumption growth and platform adoption in large accounts and influencing Directors, VPs, and C-level stakeholders.
- Strong strategic thinking and experience 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.
- Ability to travel weekly.
- Preferred qualifications include professional proficiency in English and German, financial services expertise, Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, and published thought leadership.
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.