5 дней назад
Databricks Senior Solutions Architect (Benelux + Nordics)
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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