Senior Solutions Engineer
Join Databricks as a Senior Technical Solutions Engineer to help clients leverage data and AI solutions in a collaborative environment.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 6 hours ago
Skills & Technologies
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Joblaze summary
In this role, the Pre-sales Senior Technical Solutions Engineer at Databricks engages with clients to showcase the capabilities of the Databricks Data Intelligence Platform, addressing their complex data challenges through tailored solutions. The position requires a strong background in data science, machine learning, or data engineering, along with proficiency in programming languages like Python or Java. Ideal candidates are experienced in customer-facing roles and possess the ability to articulate technical concepts effectively. The role also involves collaboration with a dynamic team focused on innovation and customer success.
Joblaze insights
- Listed about 2 months ago — first seen on Joblaze July 13, 2026. Last confirmed on Databricks's careers page September 18, 2026.
- This exact title is also open at 1 other location at Databricks: India.
- Python appears in 64.7% of 51 comparable senior ai/ml roles in United Kingdom; Generative AI appears in 2% of 51 comparable senior ai/ml roles in United Kingdom.
Quick facts
- Is the Senior Solutions Engineer 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, Big Data Analytics, Data Engineering, Data Science, Data Warehousing.
- 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 role at Databricks.
From the original posting
Req ID - FEQ427R59
Location: London
The Role
As a Sr. 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, optimize, 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.