Shape the future of the Data & AI landscape by working with sophisticated data engineering and data science teams in the world. Databricks' digital native customers are digital-first, cloud-native organizations that rely heavily on data and AI to drive their businesses at a global scale.
Requirements
- 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)
- Expertise in one of the following: Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
- 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Responsibilities
- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows.
- As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
- You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
- You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.
Other
- Available to travel to customers in your region
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- Nice to have: Databricks Certification
