Senior Solutions Engineer - Benelux Geo
Databricks2 hours ago
Responsibilities
- Lead technical discovery and solution design for customer workloads involving data engineering, analytics, machine learning, and GenAI engineering.
- Build and deliver proofs of concept, live demonstrations, notebooks, solution accelerators, and reference architectures on the Databricks Platform.
- Own frontline technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to expand platform usage and consumption.
- Explain Databricks differentiation in competitive situations through hands-on technical demonstrations.
- Lead customer conversations including discovery sessions, whiteboarding, and architecture reviews.
Requirements
- Industry experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting, with a preference for at least three years of experience.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality coding.
- Hands-on experience designing and implementing data solutions on AWS, Azure, or GCP.
- Working knowledge of distributed data systems such as Apache Spark, Delta Lake, Hadoop, Kafka, or Flink.
- Experience leading technical customer conversations and delivering presentations and live solution demonstrations.
- Familiarity with data engineering, data science and machine learning, MLOps, or SQL analytics.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Management, Data Science, or a quantitative discipline, or equivalent experience.
Benefits
- Initial 12-month fixed-term contract with an intention to extend after successful completion of the probation period.
- Office-based role in Amsterdam with a hybrid schedule.
- Comprehensive regional benefits and perks, with specific details provided for the applicable location.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).