Databricks

Senior Delivery Solutions Architect

Databricks
hybrid senior full-time Paris, France
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First indexed 18 Apr 2026

Description

We are seeking a Senior Delivery Solutions Architect to join our Field Engineering team in Paris. As a Senior Delivery Solutions Architect, you will be a trusted technical advisor to key customers, providing expert guidance that translates data, analytics, and AI challenges into high-impact business value.

You will help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Key responsibilities include:

  • Designing secure, scalable architecture
  • Aligning people, processes, and technology
  • Establishing trusted advisor relationships
  • Leveraging the broader ecosystem of Databricks experts

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer's top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc.

In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8298587002