As a Solutions Architect at Databricks, you will lead the technical strategy for customers by owning architecture discussions and driving platform adoption. You will serve as a trusted advisor to customer technical leads and architects, combining deep technical expertise with strategic thinking. Your role will involve developing a technical specialization and influencing product direction based on customer feedback. This position requires a strong focus on designing scalable solutions across data engineering, ML/AI, and real-time analytics.

• 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 (AWS, Azure, or GCP)
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• 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 for complex customer needs
• Influence product direction by providing structured feedback on customer requirements