Sr. Specialist Solutions Architect - Builder Team

As a Senior Specialist Solutions Architect – Builder Team, you will design, build, maintain, and support projects that integrate and extend the Databricks platform to accelerate data and AI use cases.

The impact you will have

• Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, focusing on scalable and reliable backend services and automation.
• Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems.
• Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organisation.
• Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery.
• Collaborate with cross-functional teams,including Field Engineering, Product, and Platform Engineering,to clarify requirements, propose technical approaches, and deliver projects.
• Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem.
• Own the design and implementation of small to medium-sized projects end-to-end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives.
• Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams.

What we look for

• Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed.
• Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required.
• Passion for defensive programming and building highly scalable and reliable software.
• Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems.
• BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams.