Data Cloud Architect

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