Databricks is hiring a
Solutions Architect

Summary

Join the Digital Natives team as a Solutions Architect and shape the future of the big data landscape by working with sophisticated data engineering and data science teams. Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs.

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

Responsibilities

• 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. 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

Benefits

• Annual performance bonus
• Equity