Senior Databricks Engineer / Architect (m/f/d)

We make the world better with data The Woodmark Group is a leading consulting organization specializing in AI, data, and analytics. We inspire people through our passion for data and innovation while supporting organizations on their digital transformation journey. Living our values of respect, openness, trust, and care fosters an excellent corporate culture and forms the foundation of our success. Your diverse range of responsibilities Databricks is your home : You’ll work hands-on on a productive enterprise data platform based on Azure Databricks and continuously develop it in collaboration with the client team. Engineering, Not PowerPoint : You don’t just design. You implement using Apache Spark, PySpark, and SQL, you’ll develop and optimize data pipelines, data products, and core components of the data platform. Thinking Ahead with the Lakehouse : You’ll design modern data lakehouse architectures, leveraging tools such as Delta Lake, Unity Catalog, and Databricks Workflows. Taking Responsibility : You’ll independently take responsibility for platform components and data products from technical design through implementation to stable, production-ready operation. DevOps Is Embedded Throughout : Automation, reproducible deployments, and clean development processes are integral to your engineering practice. You’ll work with CI/CD processes and Infrastructure as Code, ideally using Terraform. Be part of the team : You’ll become a long-term member of an existing enterprise team and work closely with engineers, architects, and business units. You’ll actively contribute your technical expertise and support the team in tackling challenging issues related to Databricks and the data platform. What you bring to the table Databricks Experience : You have several years of hands-on experience with Azure Databricks and have already deployed Databricks in production environments. Enterprise Experience : You understand the requirements of large, professionally operated data platforms and have experience building, developing, or operating enterprise data platforms. Technical Depth Is a Given : You have in-depth knowledge in several of the following areas: Azure Databricks Apache Spark and PySpark SQL Delta Lake Unity Catalog Databricks Workflows Data Lakehouse architectures Data engineering and data platform engineering CI/CD and automated deployment processes Infrastructure as Code, ideally Terraform Hands-on mindset : You’re comfortable working with code and technical implementation. For you, architecture isn’t just about design—it’s also about the ability to implement decisions in practice and understand their impact in a production environment. Ownership : You work independently, identify technical challenges early on, and take ownership of your areas of responsibility—from individual data products to core platform components. Seniority : You bring the experience of a senior engineer or architect and can make well-informed technical decisions, communicate them effectively, and implement them in collaboration with other engineers. Excellent German and English skills (C1): You can navigate project situations confidently in both languages and communicate technical topics clearly.