Senior Solutions Engineer - Benelux Geo
Databricks2 months ago
Amsterdam, NetherlandsSenior
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 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.