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5 дней назад

Databricks Senior Solutions Architect (Benelux + Nordics)

Формат работы
remote (только Netherlands)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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
Databricks Senior Solutions Architect (Benelux + Nordics): Designing and implementing production-grade big data solutions for strategic customers with an accent on Apache Spark, Databricks architecture, data engineering, and model deployment. Focus on optimizing end-to-end pipeline performance, guiding technical roadmaps, and delivering customer training while maintaining significant time zone overlap with clients.

Location: Amsterdam, Netherlands; hybrid workplace with a remote arrangement possible in rare agreed exceptions. The role is intended for Benelux and Nordics-based candidates and requires significant time zone overlap with clients.

Company

hirify.global is a Budapest-based business intelligence, data analytics, data warehouse, and application development company serving Hungarian and international customers.

What you will do

  • Provide post-sales technical leadership for strategic customers designing and implementing big data projects.
  • Architect production workloads covering architecture, data engineering, model deployment, and end-to-end pipeline optimization.
  • Align customer technical roadmaps with the growth of the Databricks platform and identify initiatives that create business value from data.
  • Perform performance testing, query tuning, troubleshooting, and optimization of large-scale data workloads.
  • Deliver tutorials, training sessions, hackathons, and conference presentations to support community adoption.

Requirements

  • Senior-level experience with more than 5 years as a Software Engineer or Data Engineer.
  • Hands-on Apache Spark expertise and experience using Databricks across several large-scale projects.
  • Databricks Certified Data Engineer Professional certification.
  • Experience with Hadoop, NoSQL, MPP, OLTP, OLAP, query tuning, performance tuning, troubleshooting, and debugging.
  • Programming proficiency in Python, Scala, or Java, plus experience with AWS, Azure, or GCP.
  • Experience with CI/CD, testing, automation, orchestration, REST APIs, BI tools, SQL interfaces, and customer-facing technical consulting or architecture.

Nice to have

  • Experience in data science or ML engineering, including model selection, lifecycle management, hyperparameter tuning, model serving, deep learning, and MLflow.

Culture & Benefits

  • Contract engagement with flexible ways of working.
  • Diverse technical and business projects with opportunities for professional growth.
  • Mentoring from the first day and ongoing internal training.
  • Learning and development support, with emphasis on autonomy and empowerment.
  • Work-life balance, supportive collaboration, and a respectful company culture.

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