Senior Solutions Engineer (Manufacturing, Automotive, Defence)

Databricks; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

The company in London is seeking a Senior Solutions Engineer to independently lead technical engagements, owning discovery, design, and platform demonstrations. You will be a builder who can code, architect, and present, combining hands-on depth with strong customer-facing skills to expand platform usage and adoption across accounts.

As part of the global Data + AI family, you will collaborate with Account Executives to shape technical strategies, drive adoption, and deliver compelling technical

Qualifications

• 4+ years in data engineering, solutions architecture, pre-sales, or hands-on consulting.
• Proficient in Python and SQL with production-quality code; live coding is part of interview.
• Experience designing data solutions on at least one cloud platform (AWS/Azure/GCP).
• Knowledge of distributed data systems (Spark, Delta Lake, Hadoop, Kafka, Flink).
• Experience leading technical customer conversations and architecture reviews.
• Bachelor's or Master's in CS/Engineering or equivalent experience.

Responsibilities

• Lead technical discovery and solution design for customer workloads.
• Build proofs-of-concept and live demos to drive technical wins.
• Own frontline technical relationships with customer engineers and data teams.
• Develop account-level technical strategies with the Account Executive.
• Explain differentiation through hands-on demonstrations during engagements.

Skills

Python

SQL

Data engineering

Pre-sales

Live coding

Cloud platforms

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

Spark

Delta Lake

MLflow

Job description

Location: London (or surrounding areas)

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 the company 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, GenAI and machine learning
• Build and deliver compelling proofs-of-concept and live demos on the the company 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 the company 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

• the company certification or experience with the the company 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 the company

the company 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 the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.