3 дня назад
Databricks Senior Solutions Architect - Benelux + Nordics-Based | Contractor (Databricks)
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Описание вакансии
Текст:
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
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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