Senior Solutions Architect

Summary

Join Databricks as a Senior Solutions Architect and shape the future of the Data & AI landscape. Collaborate with sophisticated data engineering and data science teams, working directly with strategic customers and prospects. Develop and execute account strategies, consulting on Big Data architectures, and implementing proof-of-concept projects. Guide customers through best practices and implementation, developing technical champions. Partner with the sales team and provide technical leadership to solve business problems using the Databricks platform. Become an expert in and promote Databricks-inspired open-source projects.

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 )
• 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
• 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
• 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

Preferred Qualifications

• Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Databricks Certification

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Employee Assistance Program (EAP)