Solutions Architect

Mission

Solutions Architects at Databricks are in charge of leading the adoption of Apache Spark and Databricks. They engage with the developer community to train them and evangelize Spark, meet with customers to suggest solutions that they can build with the technology, and see customers through implementing and troubleshooting production systems.  Every Solutions Architect is expected to become an Apache Spark expert and to be excellent at interacting with Spark and Databricks users.
 
At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big-data processing requirements. As the complexity grows for both us and our customers, we are looking to our Solutions Architects to fully understand the architecture that powers our product and how it can be implemented. Our Solutions Architects not only work with technologies such as Apache Spark, Hadoop and Kafka but they also recommend product features and contribute to open source community. This is a pre-sales and post-sales position where you will work with customers to identify use cases for Databricks, and see them through using the product. Our customers are highly technical, so you must be too.

Outcomes

• Provide technical leadership in a pre-sales and post-sales capacity for customers to support successful understanding, evaluation and adoption of Databricks
• Consult on architecture and design, bootstrap, and/or implement strategic customer projects
• Build references architectures, how-tos, and demo applications for customers
• Provide escalated level of support for critical customer operational issues
• Architect, implement, and/or validate integrations with 3rd party applications
• Evangelize Spark and Databricks across developer community through meetups and conferences
• Traveling to Customers
• Become an Apache Spark expert

Competencies

• Outstanding verbal and written communication skills
• Excellent presentation and whiteboarding skills
• Comfortable with traveling to multiple customer locations
• 3-5 years in customer-facing pre-sales, technical architecture or consulting role
• Ability to design and architect distributed data systems
• Comfortable writing code in either Python, Scala or Java
• Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm
• [Desired] Experience working with open source and/or AWS/cloud
• BS in Computer Science or a related field such as Information Systems or Mathematics

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)
• Mental wellness resources 

About Databricks

Databricks is the data and AI company. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks simplifies data and AI so data teams can collaborate and innovate faster. More than five thousand organizations worldwide —including Shell, Conde Nast and Regeneron — rely on Databricks as a unified platform for massive-scale data engineering, collaborative data science, full-lifecycle machine learning and business analytics. Venture-backed and headquartered in San Francisco (with offices around the globe) Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.