Solutions Architect

Summary

Join Databricks as a Solutions Architect and lead the growth of the Databricks Unified Analytics Platform. Partner with the sales team to help customers understand how Databricks solves their business problems and provide technical leadership for customers to evaluate and adopt Databricks. Consult on big data architecture, implement proof of concepts for strategic customer projects, and build and present reference architectures. Become an expert in and promote Databricks-inspired open-source projects. This customer-facing role requires collaboration with customers, teammates, and product teams. Travel to customers in your region is required. The position reports to the Field Engineering Manager.

Requirements

• 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
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )
• Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS )
• US Citizen

Responsibilities

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and 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
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

Preferred Qualifications

Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)