Seeking a Solutions Engineer for our Global Customer

Solutions Engineers are customer-facing individuals who work with customers, product teams, and post-sales teams to identify use cases. Reporting to the Field Engineering Manager, you will develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value and develop champions. You will become a trusted advisor by developing expertise using open-source projects such as Apache Spark, MLflow, and Delta Lake.
The impact you will have:
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help achieve their business problems.
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 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

What we look for:
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)
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)