About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
The Impact You Will Have
As a Senior Solutions Engineer, you will use your technical expertise to demonstrate how the Data Intelligence Platform can help customers solve complex data challenges, working with a collaborative, customer-focused team.
Responsibilities
- Form successful relationships with clients throughout your assigned territory, providing technical and business value alongside an Account Executive and Senior Solutions Architect.
- Gain excitement from clients through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem.
- 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.
What We Look For
- Familiarity working with clients, creating a narrative, and achieving tangible outcomes.
- Ability to independently deliver a technical proposition and identify customers' pain points.
- Code in a core programming language such as Python.
- Knowledge in a core Big Data Analytics domain with exposure to advanced proofs-of-concept and a major public cloud platform.