Sr. Solutions Architect - Life Sciences
Databricks2 months ago
Munich, GermanySenior
Responsibilities
- Drive technical and consumption strategy for complex customer engagements and influence platform adoption and revenue growth.
- Own senior 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 other solutions architects.
- Develop competitive strategies and lead competitive displacements and enterprise evaluations.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Coach junior SAs on technical depth, customer engagement, and use-case prioritization.
- Create customer-facing content, workshops, and community contributions for Field Engineering thought leadership.
Requirements
- 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, with Spark/PySpark preferred; candidates complete a live coding assessment and platform build during interviews.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design patterns, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge 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 solutions.
- Proven success driving consumption growth and platform adoption in large accounts.
- Ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy and connect architecture decisions to business outcomes.
- Bachelor's or master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Professional working proficiency in German.
- Preferred qualifications include Databricks certifications, experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data/AI company, published thought leadership, and deep Life Sciences or Healthcare expertise.
Benefits
- Comprehensive employee benefits and perks are offered, with specific offerings varying by region.
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.