Назад
2 дня назад

Senior Solutions Engineer - Benelux Geo (Data & AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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