Senior Solutions Engineer

You will be an essential part of our mission to create a unified platform that makes data science and analytics accessible to everyone. As a Senior Solutions Engineer, you will use 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 team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.

Your responsibilities will include:

• Forming successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gaining excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contributing to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Becoming a Big Data Analytics advisor on aspects of architecture and design.
• Supporting your customers by authoring reference architectures, how-tos, and demo applications.
• Developing both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

We look for individuals who are familiar with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. You should be able to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.

The ideal candidate will have knowledge of a core programming language such as Python, and be knowledgeable in a 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 Data Engineering is also desirable.