What we plan to do together

• Design modern data platforms:  from architectural decisions to productive operation. With Microsoft Fabric as your strategic core platform, you can build scalable, secure, and future-proof data solutions, whether from a greenfield site or by evolving existing environments. 
• Build a data platform:  Design and implement end -to -end data solutions based on Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Real-Time Intelligence ). Design robust ETL/ELT flows with Azure Data Factory and support customers in migrating existing data landscapes.
• Establish data governance :  Make governance the foundation of every platform build – with a data catalog, lineage, classification, and quality assurance (Microsoft Purview ). Define data ownership and stewardship models and ensure GDPR compliance from a technical and organizational perspective.
• Security & DataOps :  Implement access concepts (Entra ID, RBAC, Row -Level Security) and introduce DataOps and CI/CD principles into data projects.
• Automate & integrate:  Develop workflows with Power Automate and the Power Platform and  seamlessly connect the platform with Microsoft 365, Dynamics 365 and Power BI.
• Analytics & Machine Learning:  Build semantic layer and Power BI solutions, as well as ML workloads and MLOps workflows on the data platform.
• Project responsibility:  Lead customer projects technically and communicatively and work closely with stakeholders both internally and externally.

What you use to convince people

• You have a completed degree in computer science, business informatics, mathematics or comparable qualifications. 
• You bring sound practical experience with Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Semantic Models).
• Your experience in building data governance frameworks, including data ownership and stewardship, GDPR-compliant implementation, and technical implementation with Microsoft Purview (lineage, classification) sets you apart.
• Your knowledge of Azure Data Factory, the Power Platform, as well as SQL and data modeling is an advantage.
• You have experience with Databricks (Unity Catalog, Delta Lake, Spark, MLflow) and/or Palantir Foundry.
• Your openness, curiosity, and willingness to learn set you apart.