Data Cloud Architect

In this role, you will design scalable, secure, and cost-efficient data architectures on the Data Cloud Platform, using technologies such as Snowflake, Databricks, or BigQuery. You will define reference architectures for data ingestion, transformation, serving, and data product creation, while ensuring alignment with the overall enterprise architecture. By establishing and promoting clear architectural patterns, you will also drive standardization and reuse. DATA MESH & DATA PRODUCT ENABLEMENT As Data Cloud Platform Architect, you will drive the adoption of Data Mesh principles, including domain ownership, data as a product, and federated governance. You will support the design and publication of high-quality data products, while defining and promoting the adoption of clear standards, interfaces, and SLAs. You will also act as a key enabler in shifting the organization to data product ownership. ORGANIZATIONAL CHANGE & ADOPTION

In this role, you will lead and support enterprise-wide initiatives that drive Data Cloud Platform adoption and improve ways of working. As a change agent, you will help promote modern data practices and strengthen a data-driven mindset across the organization. Working closely with business and IT stakeholders, you will support the introduction of new processes and responsibilities while helping to align domains, teams, and leadership around a common direction. AI-DRIVEN DEVELOPMENT & INNOVATION

As Data Cloud Platform Architect, you will 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.

You will serve as a trusted advisor for architecture and platform-related decisions, supporting project teams in designing scalable, future-proof solutions. Collaborating closely with engineering, analytics, and IT project teams, you will ensure that platform capabilities and architectural choices effectively support business and technical needs. CONSULTANCY & STAKEHOLDER SUPPORT

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

Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 2,362 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary. As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. We believe passionately that employing a diverse workforce is central to our success. We welcome applications from all members of society irrespective of age, skin colour, religion, gender, sexual orientation or origin.