Senior Solutions Engineer

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to build a unified platform that makes AI and Analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused swarming team who values problem-solving, bias for action and creativity, using your skills to augment the account teams and either drive important opportunities to a tech win, or help customers realize business value from their Databricks deployments on an accelerated time-scale.

Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Drive to success key new opportunities or help customers realize value from Databricks in key deployments, working in collaboration with the account team’s Account Executive and Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Be part of the team responding to important RFP/RFI’s.
• Support your customers by authoring reference architectures, how-to’s, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative for Databricks value, answering customer questions, having bias for action and problem-solving skills to quickly address the customer needs in key engagements.
• Collaborate with the accounts’ Account Executive and Solution Architect, taking the lead in driving forward the relevant scenarios.
• Ability to independently deliver a technical proposition, address customers' pain-points, and explain important areas for business value to reach the goals in a short timeframe.
• Prior experience with coding in a core programming language (i.e., Python, Java) and willingness to learn Spark.
• Knowledgeable in the core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Preference for existing skills in Data Warehousing and/or Serverless technologies.