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Описание вакансии
Текст:
TL;DR
Senior Solutions Engineer - Benelux Geo (Data & AI): Leading technical discovery, solution design, proofs of concept, and platform demonstrations for customer workloads across data engineering, analytics, machine learning, and GenAI Engineering with an accent on customer-facing architecture and technical pre-sales. Focus on designing cloud data solutions, building production-quality Python and SQL implementations, and presenting live Databricks demonstrations that drive platform adoption.
Location: Amsterdam, Netherlands; office-based contract with a hybrid schedule
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Lead technical discovery and solution design for customer workloads across data engineering, analytics, machine learning, and GenAI Engineering.
- Build and deliver proofs of concept, live demos, notebooks, solution accelerators, and reference architectures on the Databricks Platform.
- Own technical relationships with customer engineers, data teams, and technical leads.
- Develop account-level technical strategies with Account Executives to grow platform usage and consumption.
- Present Databricks differentiation through hands-on demonstrations and navigate competitive evaluations.
Requirements
- Industry experience in data engineering, solutions architecture, technical pre-sales, or hands-on consulting; 3+ years is preferred.
- Proficiency in Python and SQL, including debugging, optimization, and production-quality coding.
- 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, including discovery, whiteboarding, and architecture reviews.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Management, Data Science, or a quantitative discipline, or equivalent experience.
Nice to have
- Experience with data engineering practices such as ETL/ELT, medallion architecture, or streaming.
- Experience with data science and ML, including model training or MLOps.
- Experience with SQL analytics.
Culture & Benefits
- Initial 12-month fixed-term contract with the intention to extend after successful completion of the probation period.
- Hybrid working schedule in an office-based Amsterdam role.
- Benefits and perks are provided according to the employment region.
- Inclusive workplace committed to equal employment opportunity and diversity.
Hiring process
- Live coding interview using Python and SQL.
- Live solution-building and presentation stage demonstrating technical and communication skills.
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