The Solutions Architect role at Databricks involves leading the adoption of the Databricks Unified Analytics Platform while collaborating with customers to solve complex data challenges. This customer-facing position requires expertise in cloud platforms, data engineering, data analytics, and machine learning. Solutions Architects will work closely with the sales team to build relationships and establish trust with clients. The role emphasizes technical leadership and the ability to communicate effectively with diverse audiences.

• 3+ 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 such as Computer Science, Applied Mathematics, or Operations Research
• 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 and implement proof of concepts for strategic customer projects
• 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
• Travel to customers up to 30%, with 80%+ local to your region