Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)

Req ID: FEQ327R439Location: London (or surrounding areas)The RoleAs a Senior Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present-combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.The Impact You Will HaveIndependently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learningBuild and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical winsOwn frontline technical relationships with customer engineers, data teams, and technical leadsDevelop account-level technical strategies in partnership with your Account Executive to grow platform consumptionNavigate

competitive landscapes by articulating Databricks differentiation through hands-on demonstrationsContribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA communityWhat We Look For4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting roleProficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code - live coding is a required interview stageHands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark , Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations - discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo

skills - you will build and present a live solution during the interviewBachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Nice to Have:Databricks certification or experience with the Databricks PlatformExperience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflowBackground at a data/AI company, cloud provider, or technical consulting firmInterview Process:Recruiter Screen * Hiring Manager Screen * Design and Architecture Interview * Live Coding Assessment * Build, Demo, Pitch! Presentation * Reference CheckAbout DatabricksDatabricks 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. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified