Salary
💰 $137,400 - $192,300 per year
Tech Stack
ApacheAWSAzureCloudGoogle Cloud PlatformHadoopKafkaPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
- Partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems
- Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies
- Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows
- Validate integrations with cloud services, home grown tools, and other 3rd party applications
- Collaborate with fellow Solutions Architects and with product and engineering to drive the Databricks roadmap forward
- Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow)
Requirements
- 7+ 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) or 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)
- Nice to have: Databricks Certification