Senior Solutions Engineer (Data and AI)

About this role

Responsibilities

• Form 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.
• 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 your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect.
• Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
• You will be working in any of the following vertical sectors:
• Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
• Manufacturing, Energy and Industrials
• Travel, Transport and Logistics
• Financial Services and Insurance

Requirements

• Public Sector
• Consumer Package Goods (CPG) / Retail
• Healthcare & Life Sciences
• Any experience in Pre-sales or post-sales experience working with external clients
• Familiarity with 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.
• Code in a core programming language such as Python, Java, or Scala.
• 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 (AWS, GCP, Azure).
• Experience diving deeper into solution architecture and design.
• The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time
• Nice to have: Databricks Certification

About Databricks

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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.