Senior Solutions Engineer — Data, AI & Platform Demos

Databricks; London (KY); On-site; USD 119,000 - 159,000; Full time

Job summary

Databricks is seeking a Senior Solutions Engineer in London to independently lead technical engagements, from discovery to platform demonstrations. You will own frontline customer relationships and work with the Account Executive to expand platform adoption.

You will build PoCs and live demos, architect data solutions across data engineering, analytics, and ML, and contribute reusable assets to the community. A strong coding and presentation ability is essential.

Qualifications

• 4+ years in data engineering, solutions architecture, technical pre-sales, or hands-on consulting.
• Proficient in Python and SQL with production-quality code and live coding interview stage.
• Hands-on experience designing data solutions on AWS, Azure, or GCP.
• Experience with distributed data systems like Spark, Delta Lake, Hadoop, Kafka, or Flink.
• Experience leading technical customer conversations and architecture reviews.
• Knowledge of data engineering, ML, or SQL analytics.
• Bachelor's or Master's in CS/Engineering or a quantitative discipline.

Responsibilities

• Lead technical discovery and solution design for customer workloads.
• Build and deliver 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 to grow platform usage.
• Articulate Databricks differentiation through hands-on demonstrations.
• Contribute reusable technical assets to the SA community.

Skills

Data engineering

Solutions architecture

Pre-sales

Live coding

Python

SQL

Cloud platforms

Education

Bachelor's or Master's in CS/Engineering/quantitative field

Tools

Apache Spark

Delta Lake

Python

SQL

Job description

Databricks is seeking a Senior Solutions Engineer in London to independently lead technical engagements, from discovery to platform demonstrations. You will own frontline customer relationships and work with the Account Executive to expand platform adoption.

You will build PoCs and live demos, architect data solutions across data engineering, analytics, and ML, and contribute reusable assets to the community. A strong coding and presentation ability is essential.