Greenfield Solutions Architect — Data & AI Strategy (Paris)

Databricks Inc.; Paris; Hybrid; EUR 110.000 - 160.000; Vollzeit

Zusammenfassung

Databricks Inc. is seeking a Solutions Architect for Greenfield Enterprise France in Paris. The role leads the technical strategy for new customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer leads and architects.

You will design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics, and coordinate cross-functional teams to meet complex client needs within a Databricks-focused framework.

Qualifikationen

• 6+ years in solutions architecture or senior technical role.
• Strong coding in Python and SQL with live coding ability.
• Deep expertise in distributed data architectures and lakehouse patterns.
• Experience with production deployments on cloud platforms (AWS/Azure/GCP).
• Fluency in French and English.

Aufgaben

• Own end-to-end technical strategy for Greenfield accounts.
• Lead architecture discussions and design scalable solutions.
• Advise customer technical leads and architects.
• Push for platform adoption and technical wins.
• Coordinate cross-functional resources to deliver complex solutions.
• Provide feedback to influence product direction.

Kenntnisse

Extensive architecture experience

Python

SQL

Distributed data systems

Databricks Platform

Cloud deployments (AWS/Azure/GCP)

Stakeholder leadership

Bilingual (French & English)

Ausbildung

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Python

SQL

Jobbeschreibung

Databricks Inc. is seeking a Solutions Architect for Greenfield Enterprise France in Paris. The role leads the technical strategy for new customers, owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer leads and architects.

You will design scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics, and coordinate cross-functional teams to meet complex client needs within a Databricks-focused framework.