CareerPlanGet AI match score →

Pre-sales Senior Technical Solutions Engineer (Data and AI)

London, United Kingdom💼 Full-time🗓 2026-07-05 → 2026-07-31

Core

Pre-sales technical solutions engineer demonstrating Databricks Data Intelligence Platform value to enterprise clients through hands-on evaluation and custom solution design.

Role type

Senior Pre-sales Technical Solutions Engineer (Data and AI)

Builds

Customized data and AI solutions on the Databricks platform for enterprise clients

Domain

Big Data Analytics, Data Science, Generative AI, Machine Learning, Data Warehousing

Deliverable

production ML models | product features | client delivery

Required skills

Python, Java, or Scala programming; Big Data Analytics domain expertise; solution architecture and design; cloud platform knowledge (AWS, GCP, Azure); technical customer-facing communication; pre-sales or post-sales client experience

Preferred skills

Databricks Certification

Technologies

Databricks Data Intelligence Platform, Apache Spark, Delta Lake, MLflow, AWS, GCP, Azure

Responsibilities

Form successful relationships with clients to provide technical and business value; conduct hands-on evaluations using Spark programming; author reference architectures, how-tos, and demo applications; act as a Big Data Analytics advisor on architecture and design; develop independently operating solutions architect capabilities

Seniority

Senior, hands-on IC

Rewrite
**Req ID:** FEQ327R439 **Recruiter:** Dina Hussain **Location:** London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. ## 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 the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. ## Requirements * 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 the following any of the following vertical sectors: * Entertainment, Media, Telco and/or Hospitality. * Financial Services and Insurance (FSI) * Retail / CPG (Consumer Package Goods) * 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.
Sourced via greenhouse · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Greenhouse ↗