Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
Collaborate with fellow Solutions Architects, using your skills to support each other and users.
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
Requirements
3+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Experience building distributed data systems
Comfortable programming in and debugging Python and SQL
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Expertise in one of the following:
Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, PyTorch, Tensorflow)
Available to travel to customers in your region
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)