Data Architect; with German

The client is a global leader in business transformation and management through the use of technology.

• design and implement the end-to-end architecture for the Experience Management Office (XMO), ensuring seamless integration of tools, platforms, and technical components aligned with the organization’s strategic vision,
• lead the integration and optimization of experience-focused systems such as Power BI, Sys Track, Nexthink, and other Digital Experience Monitoring and analytics platforms to deliver unified insights and support employee experience initiatives,
• configure and tailor experience management tools to organizational needs, ensuring accurate data capture, processing, and analysis across platforms,
• collaborate with cross-functional teams, including IT, data engineers, UX researchers, and business stakeholders, to ensure the architecture supports strategic goals and operational requirements,
• develop and maintain comprehensive documentation for system architecture, integration workflows, and configuration guidelines; provide knowledge transfer to support long-term sustainability of the XMO environment,
• drive the technical setup of ELT pipelines using Azure Data Factory (or similar), and create complex data models across diverse data sources, including SQL Server, Oracle, Snowflake, and Redshift,
• automate integration and transformation tasks using scripting languages such as Python and Power Shell,
• build and maintain secure, scalable APIs (REST/SOAP) to ensure efficient data exchange between systems.

• proven experience in designing and delivering complex technical solutions, ideally within experience management or digital workplace environments,
• solid programming knowledge, particularly in C#, SQL, and the Entity Framework,
• hands-on experience in building and managing ELT pipelines, using tools such as Azure Data Factory or equivalent data integration platforms,
• advanced skills in developing data models from heterogeneous data sources with varying structures and formats,
• practical experience with relational databases (e.g., SQL Server, Oracle) and data warehousing solutions such as Snowflake or Amazon Redshift,
• proficiency in scripting languages such as Python and Power Shell, with a focus on automation of integration workflows and data transformation,
• strong expertise in designing and implementing RESTful and SOAP APIs for smooth and secure system interoperability,
• excellent collaboration skills, with the ability to work cross-functionally and communicate complex technical concepts to both technical and non-technical stakeholders,
• fluency in English and German, both written and spoken.

• private healthcare and life insurance with optional additional packages,
• contract of employment,
• access to an app with a rich library of audio books,
• opportunities for personal and professional development.