Senior Solutions Engineer

Stack

Responsibilities

• ▹Form successful relationships with clients throughout the assigned territory, providing technical and business value in collaboration with an Account Executive and a Senior 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
• ▹Become a Big Data Analytics advisor on aspects of architecture and design
• ▹Support customers by authoring reference architectures, how-tos and demo applications
• ▹Develop both technically and in the pre-sales aspect, with the goal of becoming an independently operating Solutions Architect

Requirements

• ▹Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes
• ▹Ability to independently deliver a technical proposition, identify customers' pain points, and explain business value to develop a trusted advisor skillset
• ▹Code in a core programming language such as Python or SQL
• ▹Knowledgeable in a core Big Data Analytics domain with exposure to advanced proofs-of-concept and understanding of a major public cloud platform
• ▹Experience diving deeper into solution architecture and data engineering

About the company

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.