creating a culture of proactiveness and a customer‐centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. creating a culture of proactiveness and a customer‐centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.
Join us in our quest to change how people work with data and make a better world
Operate as an expert in big data analytics to excite customers about Databricks.



You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
Python, Java, Scala) and willingness to learn a base level of Spark.
Proficient with Big Data Analytics technologies, including hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s).
The location for the role should be in the Madrid region (i.e. within a commutable distance for a hybrid schedule).
Flexibility to travel (up to 30% as required for customer meetings, events and trainings).
Business proficiency in both Spanish and English required.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. To learn more, follow Data

📌 Solutions Architect (Madrid)
🏢 Databricks
📍 Madrid