Solutions Architect, Data & AI — Madrid (Hybrid)

Databricks Inc.; Madrid; Hybrid; EUR 90,000 - 160,000; Full time

Job summary

Databricks is seeking a Solutions Architect to lead the technical strategy for key accounts in the Madrid region, shaping data and AI platform adoption. You will own architecture discussions, drive production deployments, and act as a trusted advisor to customer tech leads and architects.

You will develop a domain specialization, mentor teams, and orchestrate cross-functional resources to deliver complex solutions that span data engineering, ML/AI, and real-time analytics.

Qualifications

• 6+ years in solutions architecture, data engineering, or pre-sales
• Strong coding proficiency in Python and SQL with live coding and debugging
• Deep expertise in distributed data systems architecture and cloud-native platforms
• Proven ability to lead architecture discussions with senior stakeholders

Responsibilities

• Own end-to-end technical strategy for accounts from discovery to production deployment
• Lead complex architecture discussions for scalable, production-grade solutions
• Serve as trusted technical advisor to customer architects and directors
• Drive technical wins by showcasing Databricks differentiation
• Develop an emerging technical specialization within the team
• Coordinate cross-functional resources to deliver complex customer solutions
• Influence product direction with customer feedback and competitive gaps

Skills

Python

SQL

Spanish fluency

English fluency

Cloud platforms

Databricks platform

Education

Bachelor's or Master's in CS/Engineering

Job description

Databricks is seeking a Solutions Architect to lead the technical strategy for key accounts in the Madrid region, shaping data and AI platform adoption. You will own architecture discussions, drive production deployments, and act as a trusted advisor to customer tech leads and architects.

You will develop a domain specialization, mentor teams, and orchestrate cross-functional resources to deliver complex solutions that span data engineering, ML/AI, and real-time analytics.