Data Architect

Define and own the end-to-end data model across connected sensor-based products and software systems. Design scalable data structures to enable advanced analytics and AI-driven use cases. Ensure data quality, consistency, traceability and testability across the full data lifecycle. Provide technical leadership and act as a key point of reference for data modeling and architecture topics. Collaborate with cross-functional teams to align data design with product, regulatory, legal and business requirements.

At Sonova, we envision a world where everyone can enjoy the delight of hearing. This vision inspires us and fuels our commitment to developing innovative solutions that improve hearing health and human connection - from personal audio devices and wireless communication systems to hearing aids and cochlear implants. We're dedicated to providing outstanding customer experiences through our global audiological care services, ensuring that everyone has the opportunity to engage fully with the world around them. Guided by a culture of continuous improvement that fosters resilience and self-motivation, our team is united by a shared commitment to excellence and a deep sense of pride in our work, each of us playing a vital role in creating meaningful change. Here you’ll find a diverse range of opportunities that span both consumer and medical solutions and the freedom to shape your career while making an impact on the lives of others. Join us in our mission to create a more connected world, where every voice is heard and every story matters.

• MSc or PhD in Computer Science, Software Engineering, Data Science or a related field

• Background in highly data-driven environments such as banking, finance, insurance or healthcare

• Extensive experience in data modeling and data architecture

• Proven experience designing data models for complex systems, ideally in IoT, sensor or connected device environments

• Strong understanding of data governance, data quality and regulatory requirements (e.g. GDPR, medical devices)

• Ability to lead and influence teams and stakeholders without formal disciplinary responsibility

• Strong communication skills with the ability to bridge technical and business perspectives

• Passion for data-driven innovation and enabling advanced analytics and AI