Data Process Architect

Responsibilities

• evelop lean and efficient target processes by leveraging industry standards and best practices.
• Take ownership of designing and implementing scalable data architectures that meet business needs.
• Create optimized data models to ensure well-structured, high-performance databases.
• Integrate multiple data sources seamlessly while maintaining consistency and accuracy.
• Keep databases running smoothly by monitoring performance and optimizing queries.
• Safeguard data integrity by implementing security measures and ensuring compliance with privacy regulations.
• Work closely with Data Scientists, Analysts, and other teams to align the architecture with business goals.
• You guide colleagues from the department, set standards for the use of our products and solutions and, like everyone in the team, are a data ambassador for the organization
• You are also willing to pass on your experience to colleagues and specialist departments

Skillset

• You have a university or College degree, ideally in (business) informatics, data science, (business) mathematics, software engineering or a comparable field of study
• You convince us with your personality: your passion for the topic of data analysis paired with your will to move the organization forward together with us
• You enjoy working in a team, take responsibility for your own tasks and express your opinion
• Thanks to your quick comprehension and strong analytical thinking, you are also willing to take on new tasks
• You are service-oriented, proactive and communicative, have high quality standards, but do not lose sight of your goal and work analytically and quickly with fun on creative solutions
• You have very good knowledge of the Azure Tool Stack and in addition first experiences with MS Fabric
• If you have already gained experience in the design and implementation of various interfaces (including REST APIs), that would be a plus
• You already have knowledge of data modeling of analytical databases (dimensional modeling, data vault)
• You have advanced knowledge of common architectures and processes in data processing (e.g. ETL / ELT)
• You are fluent in German and  English, as Welthungerhilfe works in almost 40 countries