> Markdown version of [/jobs/ext/2264153-sr-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/2264153-sr-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Solutions Engineer - **Company:** Databricks, Inc. - **Location:** London, UK - **Experience:** Expert - **Salary:** £75,236.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Data Systems, Software Debugging, Distributed Data Store, Apache Hadoop, Python (Programming Language), Machine Learning, SQL Databases, Apache Spark, Data Lakes, Information Technology, Apache Flink, Production Code, Apache Kafka, Machine Learning Operations, Databricks - **Published:** August 27, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5856959300 ## About the Role * 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 ## Description 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 ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How to Benchmark Your Apache Kafka](https://www.wearedevelopers.com/videos/76-how-to-benchmark-your-apache-kafka) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)