Data Solutions Engineer
The field engineering team at Databricks is in charge of leading the adoption of Apache Spark and Databricks Cloud.  Our team engages with the developer community to train and evangelize Spark, meets with customers to suggest solutions that they can build with the technology, and sees customers through implementing and troubleshooting production systems.  Every member of our team is expected to become an Apache Spark expert and to be excellent at interacting with Spark users.At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our solution architects to fully understand the architecture that powers our product and how it can be implemented.  Our solutions architect not only work with technologies such as Apache Spark, Hadoop and Kafka but they also recommend product features and contribute to open source community.  Our solutions architect position is a pre-sales and post-sales position.  You will work with customers to identify use cases for Databricks cloud, and see them through using the product.  Our customers are highly technical, so you must be too.RESPONSIBILITIESProvide technical leadership in a team that helps customers design and architect large-scale data processing systemsAdvise Clients and Partners in Technology implementationBootstrap and/or Implement strategic customer projectsBuild reference architectures and demo applicationsContribute to the Apache Spark open source projectsLead a growing technical field organization
Title: Data Solutions Engineer
Salary: None
Description: The field engineering team at Databricks is in charge of leading the adoption of Apache Spark and Databricks Cloud.  Our team engages with the developer community to train and evangelize Spark, meets with customers to suggest solutions that they can build with the technology, and sees customers through implementing and troubleshooting production systems.  Every member of our team is expected to become an Apache Spark expert and to be excellent at interacting with Spark users.At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our solution architects to fully understand the architecture that powers our product and how it can be implemented.  Our solutions architect not only work with technologies such as Apache Spark, Hadoop and Kafka but they also recommend product features and contribute to open source community.  Our solutions architect position is a pre-sales and post-sales position.  You will work with customers to identify use cases for Databricks cloud, and see them through using the product.  Our customers are highly technical, so you must be too.RESPONSIBILITIESProvide technical leadership in a team that helps customers design and architect large-scale data processing systemsAdvise Clients and Partners in Technology implementationBootstrap and/or Implement strategic customer projectsBuild reference architectures and demo applicationsContribute to the Apache Spark open source projectsLead a growing technical field organization
Requirements: None experience, Bachelor's Degree education
Fraudulent: No