Strategic Data Architect: AI & Cloud Platform Lead

Trust In SODA

Zürich

Hybrid

CHF 185.000 - 332.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Trust In SODA is seeking a Principal Data Architect for a hybrid role in Switzerland. You will shape data and AI delivery across client engagements, providing long-term architectural vision from platform modernization to governance.

Responsibilities include leading design sessions, guiding data pipelines on Databricks, Snowflake, and other platforms, participating in pre-sales, and mentoring teams while ensuring scalable, governed implementations across Azure, AWS, and GCP.

Qualifikationen

  • Extensive experience in designing large-scale data architectures and platforms.
  • Proven track record in advisory and client-facing roles across data/AI.
  • Experience with data mesh, real-time architectures, and governance.
  • Strong German and English communication at management and technical levels.

Aufgaben

  • Acting as trusted advisor to clients, leading design sessions, architecture reviews, and technology evaluations.
  • Shaping compelling data and AI strategy narratives for pre-sales and bids.
  • Designing and implementing data architectures across cloud-native platforms and real-time systems.
  • Leading teams on flagship projects, ensuring clean code and scalable data pipelines.
  • Guiding AI projects from prototype to production with governance and traceability.
  • Contributing to thought leadership and growing the talent around you.

Kenntnisse

Data architecture
AI strategy
Pre-sales
Cloud platforms
Leadership
Communication

Tools

Databricks
Palantir Foundry
Snowflake
Microsoft Fabric

Jobbeschreibung

Trust In SODA is seeking a Principal Data Architect for a hybrid role in Switzerland. You will shape data and AI delivery across client engagements, providing long-term architectural vision from platform modernization to governance.

Responsibilities include leading design sessions, guiding data pipelines on Databricks, Snowflake, and other platforms, participating in pre-sales, and mentoring teams while ensuring scalable, governed implementations across Azure, AWS, and GCP.

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