Senior Solutions Engineer

Summary

Join Databricks and become an essential part of our mission to revolutionize how people work with data. You will leverage your technical expertise to showcase our Data Intelligence Platform's capabilities in solving complex data challenges for clients. Collaborate with a customer-focused team to create tailored solutions, achieving tangible outcomes and guiding businesses forward. Build successful client relationships, providing technical and business value. Gain client excitement through hands-on evaluations and Spark programming, integrating with the cloud ecosystem and third-party applications. Contribute to Databricks' technical presence through workshops and seminars. Develop your skills as a Big Data Analytics advisor and pre-sales 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 important areas for business value to develop a trusted advisor skillset
• Experience diving deeper into solution architecture and design
• 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
• Code in a core programming language such as Python, Java, or Scala
• The location for the role must be in the Milan region (or within a commutable distance for a hybrid schedule)
• Fluency in Italian is required as a minimum

Responsibilities

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and the other cross-functional teams
• 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 through engagement at workshops, seminars, and meet-ups
• Become a Big Data Analytics advisor on aspects of architecture and design
• Support your 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