Solutions Architect, Databricks

• Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences almost every day, primarily through presentations, whiteboarding, and platform demonstrations
• 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
• Expertise in at least one of the following
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

Desirable

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to understand, evaluate, and ultimately adopt, Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Provide an escalated level of support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, webinars, etc
• Understand your strengths, and use them to help your fellow SA’s, and to drive cross-functional relationships across the company
• Travel to customers (up to 30%, of which 80%+ local to your region)