Senior Data & AI Delivery Architect

Databricks; Zürich; Sur place; CHF 180 000 - 240 000; Plein temps

Résumé du poste

Databricks is seeking a Sr. Delivery Solutions Architect to partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption of the Databricks platform for our most complex customers in Switzerland.

You will serve as a senior technical advisor, helping design, implement, scale, and optimize data and AI solutions across units and regions. This highly technical, customer-facing role requires defining execution strategies, aligning architecture across use cases, and

Qualifications

• 8+ years in solutions architecture or related senior technical roles.
• Proven ability to lead technical strategy for complex customer environments.
• Experience across multiple business units, geographies, or product areas.
• Bachelor's degree in CS/Engineering or equivalent.

Responsabilités

• Define technical execution strategy across high-value accounts and use cases.
• Serve as senior technical advisor to customer architects and executives.
• Design secure, scalable architectures balancing performance, cost, and reliability.
• Orchestrate teams across Databricks, customers, and partners.
• Mentor delivery solution architects and enable knowledge sharing.
• Drive adoption and measurable outcomes through technical leadership.

Connaissances

Solutions architecture

Technical leadership

Distributed data systems

Cloud architecture

Python/SQL/Scala

Stakeholder management

First-principles thinking

Cross-functional leadership

Customer adoption

Mentoring

Formation

Bachelor's degree in Computer Science, Engineering, or equivalent

Outils

Python

SQL

Scala

Description du poste

Databricks is seeking a Sr. Delivery Solutions Architect to partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption of the Databricks platform for our most complex customers in Switzerland.

You will serve as a senior technical advisor, helping design, implement, scale, and optimize data and AI solutions across units and regions. This highly technical, customer-facing role requires defining execution strategies, aligning architecture across use cases, and