EMEA Startups Solutions Architect — Paris (Hybrid)

WinsAbove; Paris; Hybride; EUR 120 000 - 165 000; Plein temps

Résumé du poste

Databricks is seeking a Solutions Architect for EMEA Startups in France, located in the Paris region with hybrid work. You will engage founders, CTOs, and data leaders to design modern data and AI architectures and translate business priorities into technical use cases.

You will own the technical sales motion from discovery through evaluation, lead architecture discussions, and drive customer outcomes using Databricks platform demonstrations, proofs of concept, and adoption strategies.

Qualifications

• 5+ years in a customer-facing pre-sales, technical architecture, consulting or equivalent role.
• Experience designing distributed data systems and cloud-native solutions.
• Hands-on programming in Python, SQL, Scala, or Java.
• Experience building solutions with AWS, Azure or GCP.
• Strong business communication, ability to connect architecture to business value.
• Experience with startups, SaaS or venture-backed organisations.

Responsabilités

• Lead technical discovery and architecture discussions with software engineers and data teams.
• Define success criteria and develop solution architectures for Databricks platform demonstrations.
• Coordinate proofs of concept and guide path to adoption.
• Collaborate with Sales, Product, Engineering, and partners to remove blockers and accelerate adoption.

Connaissances

Customer-facing

Technical discovery

Architecture discussions

Business communication

Outils

Python

SQL

Scala

Java

AWS

Azure

GCP

Spark

Delta Lake

MLflow

Description du poste

Databricks is seeking a Solutions Architect for EMEA Startups in France, located in the Paris region with hybrid work. You will engage founders, CTOs, and data leaders to design modern data and AI architectures and translate business priorities into technical use cases.

You will own the technical sales motion from discovery through evaluation, lead architecture discussions, and drive customer outcomes using Databricks platform demonstrations, proofs of concept, and adoption strategies.