Paris-Based Solutions Architect: Greenfield Enterprise

WinsAbove; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Databricks seeks a Solutions Architect to lead the technical strategy for Greenfield (new logo) customers in Paris, or nearby commuting distance. You will own architecture decisions, drive platform adoption, and advise customer tech leads while developing a domain specialization.

You will collaborate with cross-functional teams across data engineering, ML/AI, and analytics, influence product direction, and deliver scalable, production-grade solutions on public clouds.

Qualifications

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on role.
• Strong coding in Python and SQL with live coding and solution-building ability.
• Deep expertise in distributed data architectures, streaming, lakehouse, and cloud-native platforms.
• Proficiency with Databricks and ability to develop a rapid specialization.
• Experience leading architecture discussions with senior stakeholders and in production cloud deployments.
• Excellent communication to translate architectures into business value.

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment.
• Lead complex architecture discussions across data engineering, ML/AI, and real-time analytics.
• Serve as trusted technical advisor to customer architects and Directors.
• Drive technical wins with custom-built solutions and platform adoption.
• Develop an emerging technical specialization and coordinate cross-functional resources.
• Influence product direction with feedback on requirements and gaps.

Skills

Solutions Architecture

Python

SQL

Distributed Data Systems

Cloud Platforms

French & English

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Job description

Databricks seeks a Solutions Architect to lead the technical strategy for Greenfield (new logo) customers in Paris, or nearby commuting distance. You will own architecture decisions, drive platform adoption, and advise customer tech leads while developing a domain specialization.

You will collaborate with cross-functional teams across data engineering, ML/AI, and analytics, influence product direction, and deliver scalable, production-grade solutions on public clouds.