Tasks

• Advise business stakeholders on data-driven opportunities and solutions that support informed decision-making, digitalization, and business growth
• Design end-to-end data solutions for business use cases, from data ingestion and transformation to reusable data products
• Collaborate with business and technical teams to translate requirements into scalable, secure, and sustainable data architecture
• Optimize and evolve existing data solutions to improve efficiency, scalability, and business value
• Ensure alignment with enterprise architecture, data governance standards, and data mesh principles
• Promote reuse by designing shared data products, common data models, and standardized integration patterns
• Work closely with data engineers, data owners, and data stewards to ensure data quality, compliance, and discoverability through effective metadata management and documentation 

Qualifikation

• Minimum 7 years of experience in Data Architecture, Data Engineering, Analytics, or a similar role
• Degree in Computer Science, Information Systems, Data Science, or a related discipline
• Strong ability to understand business challenges and translate them into scalable data solutions that enable data-driven decision-making
• Experience designing end-to-end data architectures, from data ingestion and transformation to data products and consumption
• Experience with modern cloud data platforms such as Microsoft Fabric, Databricks, Snowflake, AWS, or GCP
• Solid knowledge of data modeling, database design, data governance, metadata management, and data product concepts
• Proficiency in SQL and at least one modern data processing language or framework (e.g., Python, Java, Scala, Spark)
• Strong stakeholder management and English communication skills, with the ability to collaborate effectively across business and technical teams.