The Solutions Architect role at Databricks focuses on leading the technical strategy for customers, driving platform adoption, and serving as a trusted advisor. This position requires a blend of deep technical expertise and strategic thinking to position Databricks as a key player in customers' data and AI strategies. The architect will develop a technical specialization and be recognized for their depth in a specific domain. The role involves orchestrating resources to deliver comprehensive solutions for complex customer needs.

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL.
• Deep expertise in distributed data systems architecture.
• Proficient on the Databricks Platform with a developing technical specialization in one area.
• Proven ability to lead architecture discussions with senior technical stakeholders.
• Experience with production deployments on public cloud including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills to translate complex architectures into business value.
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline.

• Own the end-to-end technical strategy for accounts from initial discovery through production deployment.
• Lead complex architecture discussions designing scalable, production-grade solutions.
• Serve as a trusted technical advisor to customer architects and engineering leads.
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation.
• Develop and declare an emerging technical specialization.
• Orchestrate cross-functional resources to deliver comprehensive solutions.
• Influence product direction by providing structured feedback on customer requirements.