Associate Enterprise Data Architect
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Job Description
Associate Enterprise Data Architect working with experienced architects and business leaders at Swisscom. Contributing to enterprise-wide data models and influencing technology decisions.
Responsibilities:
- Contribute to enterprise-wide data models, and architecture principles
- Help teams make well-founded and consistent decisions about data, APIs, artificial intelligence, platforms, and governance
- Develop tools, reference implementations, templates, and reusable developer artefacts that help engineering teams adopt our data, API, AI, and architecture standards
- Design the foundations that enable innovative products, intelligent automation, and data-driven business capabilities at enterprise scale
- Learn from experienced architects while contributing to enterprise-wide data models, APIs, and governance frameworks
- Influence strategic technology decisions that shape Swisscom's data, AI, and digital transformation journey
Requirements:
- Master's degree in Computer Science, Data Science, Information Systems, or a related discipline, completed within the last three years or expected within the next six months.
- Strong hands-on experience of modern AI-based development, agentic systems, data modelling, and software architecture principles, gained through practical projects.
- Collaborative team player with an affinity for building trusted relationships across teams and organizational boundaries.
- Ability to look beyond coding and implementation details to understand the broader business, architectural, and strategic implications of technology decisions.
- Clear communication and storytelling skills, with the ability to prepare structured material for different audiences.
- Basic knowledge of data governance and enterprise architecture with the ability to apply methodologies pragmatically in real-world environments.
- Curiosity and growth mindset with a strong willingness to learn, challenge assumptions, and continuously develop new capabilities.
- Get things done mindset that is not afraid to take ownership and drive change autonomously.
Benefits:
- flexible working hours to meet your personal needs
- pleasant working environment
- financial benefits
- exciting opportunities for professional development
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