We are seeking a Data Cloud Architect to shape the future of our enterprise data landscape. As a Data Cloud Platform Architect, you will combine strong cloud platform architecture expertise with Data Mesh and Data Product principles to support scalable, well-governed, product-oriented data solutions. Responsibilities: Design scalable, secure, and cost-efficient data architectures on the Data Cloud Platform, using technologies such as Snowflake, Databricks, or BigQuery. Define reference architectures for data ingestion, transformation, serving, and data product creation, while ensuring alignment with the overall enterprise architecture. Drive the adoption of Data Mesh principles, including domain ownership, data as a product, and federated governance. Support the design and publication of high-quality data products, while defining and promoting the adoption of clear standards, interfaces, and SLAs. Lead and support enterprise-wide initiatives that drive Data Cloud Platform adoption and improve ways of working. Promote and enable the use of AI-assisted development and analytics practices, guiding teams in adopting AI capabilities in a safe, governed, and value-driven way. Serve as a trusted advisor for architecture and platform-related decisions, supporting project teams in designing scalable, future-proof solutions. Help platform users and domain teams get the most out of the Data Cloud Platform through onboarding, training, and continuous enablement. Requirements: University degree in Business Administration, Information Systems, or comparable experience Fluent English skills, German is a plus Proven experience with modern Data Cloud Platforms (e.g., Snowflake, Databricks, BigQuery, or similar) and major cloud platforms (AWS, Azure, or GCP) Strong background in designing scalable data architectures Solid understanding of Data Mesh concepts and experience applying them in enterprise environments In-depth knowledge of data warehousing, data modeling, and ELT/ETL tools (e.g., dbt, Dagster, Fivetran) Proven experience leading or supporting large-scale organizational or transformation initiatives Familiarity with AI-driven development practices and knowledge vaults Strong stakeholder management, communication, and presentation skills Self-driven mindset with the ability to work independently and drive topics forward