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DWH Architect / Senior Data Engineer (Azure & Databricks) - Remote

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Remote Full-time

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Experience Level

Senior

Qualifications

Your Profile:Degree from a university in Information Technology, Computer Science, Business Informatics, or a related field. Experienced DWH Architect with solid expertise in modern data architectures (Medallion Architecture, Star Schema, Gold Layer). Practical experience with Databricks (PySpark, Delta Lake, Unity Catalog), Azure Data Platform, and Power BI. Proven project experience in migrating and modernizing data systems. Strong understanding of legacy DWH architectures and classical systems. Ability to analyze business and technical requirements and translate them into DARTS-compliant solutions. Experience in data governance, data quality, and scaling modern data platforms. Fluent in German. Experience with AI-driven development approaches (e.g., Agentic Engineering, LLM integration) is a plus.

About the job

We are seeking a skilled DWH Architect / Senior Data Engineer to join our client's team, a prominent insurance company based in Switzerland. If you are ready to tackle complex challenges and actively shape modern data platforms, we would love to hear from you! This position allows for complete remote work from Germany.

 

Your Responsibilities:

  • Design and implement advanced Data Warehouse architectures.

  • Lead migrations and modernization of existing DWH systems.

  • Analyze and translate business and technical requirements into scalable, architecture-compliant solutions.

  • Collaborate closely with internal stakeholders and cross-functional teams.

  • Ensure data governance, security, and compliance with regulatory requirements in Switzerland.

  • Continuously develop and optimize data platforms and reporting solutions.

  • Establish and enforce naming conventions, self-service approaches, delineation, tool recommendations, and guidelines.

About callista

callista is a leading provider in the field of data and technology solutions, dedicated to supporting organizations in leveraging their data for strategic decision-making and operational excellence.

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