Senior Databricks Architect 60-100%

 Posted 2 days ago
     
5-10 years experience
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AI Summary

Design and implement scalable enterprise-grade Databricks Lakehouse architectures using Medallion Architecture. Define platform standards, governance, and best practices while collaborating with engineering teams and stakeholders.

For our client, we are looking for an experienced Senior Databricks Architect to design and deliver scalable, enterprise-grade data platforms. You will define data architecture, governance, and best practices while working closely with business and technical stakeholders.

Responsibilities include, but are not limited to:

  • Design and implement modern Databricks Lakehouse architectures

  • Develop scalable batch and streaming solutions using Medallion Architecture (Bronze/Silver/Gold)

  • Define platform standards, governance, and best practices

  • Collaborate with engineering teams to deliver secure, high-performance data solutions

  • Advise stakeholders on enterprise data architecture and cloud strategies


Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering or Information Technology

  • Extensive hands-on experience in data engineering and architecture, including 3+ years of hands-on Databricks experience

  • Strong expertise in Apache Spark (PySpark/Scala), Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, and Workflows

  • Experience with Azure Databricks (preferred), AWS or GCP

  • Hands-on experience with CI/CD, Terraform, Databricks Asset Bundles, and Azure DevOps or GitHub Actions

  • Proven track record designing enterprise data platforms and governance frameworks

  • Databricks Data Engineer or Architect certification is highly desirable

  • Experience in Life Sciences, Pharmaceuticals, Chemicals, or CDMO environments is a strong advantage. Knowledge of GxP, ALCOA+, LIMS, Veeva, or clinical/commercial systems is beneficial

  • Strong stakeholder management and client-facing communication skills

  • Fluent English is required; German is an advantage

  • Industry experience in Life Sciences, Pharmaceuticals, Chemicals, or CDMO environments is highly desirable and will be considered a strong advantage

 

General Conditions:

  • Start Date: Available to start immediately

  • Workload: 60% - 100%

  • Working Model: Remote

  • Duration: 2-3 months

  • Fluent in English is a Must, German would be an advantage

  • Ideal candidate is based in: Switzerland, willing to travel within Switzerland

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