Senior Solutions Engineer (Presales, Technical, Data and AI)
Join Databricks as a Senior Solutions Engineer to drive technical wins for digital-native companies in the UK and Ireland.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 23 hours ago
Skills & Technologies
AI in the day-to-day
Enthusiasm for building with AI-based development tooling such as Claude Code, Cursor, or Databricks Assistant / Genie.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In the role of Senior Solutions Engineer at Databricks, the individual will engage directly with customers to demonstrate the capabilities of the Data Intelligence Platform, focusing on hands-on evaluations and proofs-of-concept. Key skills include proficiency in programming languages like Python or SQL, along with experience in modern data engineering and AI domains. This position is ideal for someone with a strong technical background in pre-sales or consultancy, particularly within high-growth technology environments. The team emphasizes a collaborative culture that values innovation and rapid execution.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 21, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- Python appears in 4.6% of 238 comparable senior sales/marketing roles in United Kingdom; Generative AI appears in 0.4% of 238 comparable senior sales/marketing roles in United Kingdom.
Quick facts
- Is the Senior Solutions Engineer (Presales, Technical, Data and AI) role remote?
- No — this is an on-site role in London, United Kingdom.
- Where is the role based?
- Databricks is hiring for this position in London, United Kingdom.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Generative AI, Java, Machine Learning.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Solutions Engineer (Presales, Technical, Data and AI) role at Databricks.
From the original posting
Req ID: FEQ427R358
Location: London (or surrounding areas)
The Role
As 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 Have
- Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
- Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
- Own frontline technical relationships with customer engineers, data teams, and technical leads
- Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
- Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
- Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community
What We Look For
- 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
- Proficient in Python and SQL with demonstrated ability to debug, optimise, and write production-quality code — live coding is a required interview stage
- Hands-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 reviews
- Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
- Strong presentation and demo skills — you will build and present a live solution during the interview
- Bachelor'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 Platform
- Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
- Background at a data/AI company, cloud provider, or technical consulting firm
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.