Senior Solutions Engineer (Manufacturing, Automotive, Defence)

Req ID: FEQ427R376

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 presentcombining 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 GenAI 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
• Bachelors or Masters 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