Manager, Delivery Solutions Architects
Pubblicato il 15-09-2026 - Databricks in Monza
Overview
As DSA Manager, you will lead a team of Delivery Solution Architects to shape post-sales delivery strategy for major customers in the SEMEA region. You’ll collaborate with Sales, Pre-Sales, FDE, and Partners to drive adoption, growth, and platform value. The role blends leadership, commercial acumen, and technical depth across Databricks products, serving as a technical sponsor for select customers. You’ll build a scalable DSA practice and influence regional growth and customer outcomes.
Responsabilità
- Manage and coach a diverse DSA team to achieve customer, company, and team goals, including usage growth and hiring.
- Lead by example with AI tooling to deliver C-level thought leadership discussions.
- Assign accounts and distribute work for optimal coverage and balance.
- Foster a customer-obsessed mindset by understanding customer goals and use cases.
- Partner with Sales, Pre-Sales, and FDE to accelerate customer growth.
- Escalation risk management and customer risk reduction with the team.
- Monitor customer progress and forecast growth for accounts.
- Provide input to improve internal processes and customer success offerings.
- Promote cross-functional programs, planning, and documentation.
- Hire, train, and develop team members to support roadmap delivery.
Requisiti fondamentali
- 10+ years in a customer-facing role.
- Experience leading teams of pre- or post-sale consultants/solutions architects, technical account managers, or customer success engineers.
- Experience in Cloud, Data, AI domains.
- Experience delivering workloads or data products to production (delivery architect, project manager, DevOps, or service/product owner).
- Knowledge of business issues and big data use cases across industries.
- Fluent in Italian and English; additional regional languages advantageous.
- Based in Milan or within 1 hour commute.
- customer-obsessed
- leadership
- cross-functional collaboration
- Cloud and data platforms
- AI/ML tooling and adoption
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