Solutions Architect - Data & AI Strategy (Madrid/Paris)

Engg; Paris; Sur place; EUR 120 000 - 170 000; Plein temps

Résumé du poste

Databricks is seeking a Solutions Architect to lead the technical strategy for key customers in Europe, with fluency in English and Portuguese.

You will own end-to-end architecture from discovery to production deployment, designing scalable lakehouse architectures, streaming pipelines, and ML/AI solutions on the Databricks Platform.

Join a collaborative team and influence product direction by aligning with customers’ data and AI strategies.

Qualifications

• 6+ years in solutions architecture or related senior role.
• Strong coding in Python and SQL with live coding demonstrations.
• Deep expertise in distributed data systems architecture, pipelines, and lakehouse patterns.
• Proficient with the Databricks Platform and developing a technical specialization.
• Ability to lead architecture discussions with senior stakeholders.
• Experience deploying on public cloud (AWS/Azure/GCP).
• Excellent English and Portuguese communication skills.
• Degree in CS/Engineering or equivalent experience.

Responsabilités

• Own end-to-end technical strategy for accounts from discovery to deployment.
• Lead architecture discussions across data eng, ML/AI, and real-time analytics.
• Serve as trusted advisor to customer architects and directors.
• Drive technical wins with custom-built solutions.
• Coordinate cross-functional resources to deliver complex solutions.
• Influence product direction with customer feedback and competitive gaps.

Connaissances

Python

SQL

Databricks Platform

Architecture Leadership

Cloud Deployments

English

Portuguese

Data Engineering

ML/AI

Formation

Bachelor's or Master's in CS/Engineering

Outils

AWS

Azure

GCP

Description du poste

Databricks is seeking a Solutions Architect to lead the technical strategy for key customers in Europe, with fluency in English and Portuguese.

You will own end-to-end architecture from discovery to production deployment, designing scalable lakehouse architectures, streaming pipelines, and ML/AI solutions on the Databricks Platform.

Join a collaborative team and influence product direction by aligning with customers’ data and AI strategies.