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3 дня назад

Databricks Senior Solutions Architect - Benelux + Nordics-Based | Contractor (Databricks)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands/Europe/Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Databricks Senior Solutions Architect - Benelux + Nordics-Based | Contractor (Databricks): Designing and implementing production-grade big data solutions for strategic customers with an accent on Apache Spark, Databricks, cloud infrastructure, and end-to-end pipeline optimization. Focus on leading customer architecture engagements, tuning high-scale workloads, deploying data models, and delivering technical training.

Location: Remote; applicants must be based in the Benelux or Nordics region and maintain significant time zone overlap with clients.

Company

hirify.global is a Budapest-based data and application development company delivering data warehouses, business intelligence, data analytics, and software solutions for Hungarian and international clients.

What you will do

  • Provide post-sales technical leadership for strategic customers designing and implementing big data projects.
  • Guide architecture, data engineering, model deployment, and Databricks platform adoption.
  • Design production-level workloads and optimize end-to-end pipeline performance through testing and tuning.
  • Identify data initiatives that create measurable business value and align with customer goals.
  • Deliver tutorials, training sessions, hackathons, and conference presentations.

Requirements

  • Hands-on expertise with Apache Spark and Databricks across several large-scale projects.
  • Databricks Certified Data Engineer Professional certification.
  • More than five years of Software Engineering or Data Engineering experience, including query tuning, performance tuning, troubleshooting, and debugging.
  • Experience with Hadoop, NoSQL, MPP, OLTP, and OLAP technologies.
  • Proficiency in Python, Scala, or Java, plus experience with AWS, Azure, or GCP.
  • Customer-facing experience in technical architecture, consulting, pre-sales, or post-sales, with strong communication and presentation skills.

Nice to have

  • Data Science or ML Engineering experience, including model selection, lifecycle management, hyperparameter tuning, model serving, deep learning, and MLflow.
  • Familiarity with CI/CD, testing, automation, orchestration, REST APIs, BI tools, SQL interfaces, and Jenkins.

Culture & Benefits

  • Flexible ways of working with access to an office and community space.
  • Mentoring from the first day and continuous career support.
  • Learning and development opportunities through internal training and ongoing technical growth.
  • Diverse projects across technical and business domains.
  • Focus on work-life balance, mutual support, respect, and minimal unnecessary administration.

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