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# Architect - Global Data Platform / Data Mesh

- **Company:** Serviceplan Group
- **Location:** München, Germany
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Python (Programming Language), Metadata Standards, Role-Based Access Control, Cloud Services, SQL Databases, Data Streaming, Management of Software Versions, Data Logging, Large Language Models, Prompt Engineering, Pyspark, Information Technology, Data Pipelines, Databricks
- **Published:** July 14, 2026
- **Apply:** https://jobdb.softgarden.de/jobdb/public/jobposting/applyonline/click?jp=63461309

## About the Role

* A completed degree in Computer Science, Data Engineering, Business Informatics, or a comparable qualification.
 * First relevant hands-on experience with cloud data platforms (ideally Azure) as well as data engineering.
 * Basic understanding of data architectures, modeling concepts, and modern data platforms.
 * Foundational knowledge in at least two of the following areas: SQL, Python, Databricks, ADF, Azure Storage, CI/CD, Git, API design.
 * Interest in Data Mesh, data products, domain ownership, and modern platform concepts.
 * Understanding of topics such as security, access control, privacy-by-design, and data quality.
 * A structured working style, strong motivation to learn, and enjoyment of collaborating in international, interdisciplinary teams.
 * Strong communication skills in English; German skills are a plus.

## Description

* Supporting the design and further development of our Azure-based Global Data Platform (ingestion, storage, processing, serving).
 * Contributing to architectural building blocks, reference architectures, and blueprints for domain teams.
 * Adding value to the integration of MCP and LLM services, RAG architectures, and agentic AI patterns.
 * Implementing and documenting technical components under the guidance of experienced architects.
 * Supporting the development of data products based on Data Mesh principles.
 * Contributing to ETL/ELT pipelines (ADF, Databricks, PySpark) as well as testing, versioning, and deployment.
 * Ensuring adherence to naming conventions, metadata standards, and documentation requirements.
 * Applying and further evolving existing platform standards (RBAC, logging/monitoring, CI/CD).
 * Using and expanding self-service tools (catalog, glossary, lineage, quality frameworks).
 * Participating in the standardization of LLM usage, prompt design, and RAG governance.
 * Supporting architecture reviews, security assessments, and technical evaluations.
 * Collaborating closely with domain teams, data engineers, product owners, and senior architects.
 * Creating technical documentation, guidelines, and how-to guides, and actively contributing to the Community of Practice.


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