The Solutions Architect role at Databricks involves leading the adoption of the Databricks Unified Analytics Platform by providing technical leadership to customers. This customer-facing position requires expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. Solutions Architects will develop architectures and solutions using Databricks, guiding customers through implementations to deliver strategic business value. The role emphasizes collaboration, knowledge sharing, and building relationships with customers.

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
• Have built solutions with public cloud providers, such as AWS, Azure, or GCP
• Experience in at least one of the following: Data Engineering technologies, Data Warehousing, or Data Science and Machine Learning technologies
• [Preferred] Degree in a quantitative discipline
• Nice to have: Databricks Certification

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, and validate integrations with cloud services and other third-party applications
• Build and present reference architectures, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects across developer communities
• Use your strengths to help fellow Solutions Architects and drive cross-functional relationships across the company
• Travel to customers up to 30%, with 80%+ local to your region