Principal Data Architect
Listed on 2026-09-24
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IT/Tech
Data Engineering
Principal Data Architect
Location:
Switzerland (hybrid)
Contract:
Initial 6 months, with route to extend or convert to permanent
Languages:
Fluent German and English required
Day rate:
Dependant on experience
The Client
A leading Swiss technology consultancy, internationally recognised for its work in Data Platforms and data-driven solutions across multiple industries. They are investing heavily in global growth across Data and AI, and this role sits at the centre of that expansion.
The RoleThis is a strategic, client-facing position for someone who has already built a reputation in data architecture and wants to shape how a top-tier consultancy delivers data and AI will provide long-term architectural vision across complex client engagements, from platform modernisation and governance to real-time architectures and AI operationalisation.
What you'll be doing- Acting as trusted advisor to clients, leading design sessions, architecture reviews, and technology evaluations
- Taking part in pre-sales and bid activity, shaping compelling data and AI strategy narratives for prospective clients
- Designing and implementing sophisticated data architectures across cloud-native platforms, data mesh, and real-time systems
- Working across Azure, AWS, and GCP, knowing when each platform is the right fit
- Leading teams on flagship projects, ensuring clean, maintainable code and robust data pipelines
- Taking AI projects from prototype to production, with a focus on traceability and governed, compliant delivery
- Contributing to thought leadership, both internally and externally, and growing the talent around you
- Deep expertise across AI and data solutions, with a clear understanding of their possibilities and limitations
- A track record leading technical pre-sales and bid management, shaping winning proposals
- Proficiency across multiple data platforms and cloud environments, including Databricks, Palantir Foundry, Microsoft Fabric and Snowflake
- Comfort with distributed processing, data modelling, API design, containerisation, and data governance
- Strong communication skills at both management and technical expert level, in German and English
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