Forward Deployed Engineer - Lead Data & AI Deployments

Neon; Greater London; Hybrid; GBP 110,000 - 190,000; Full time

Job summary

Databricks is seeking a Senior Forward Deployed Engineer to own architecture and lead design decisions across data engineering, AI, and application development for customer projects. You will work with customers to productionize solutions on the Databricks platform, guiding end-to-end delivery.

This hands-on, customer-facing role requires strong engineering expertise, curiosity, and the ability to translate complex concepts into actionable results.

Qualifications

• Strong years of experience in data engineering, data platforms & analytics, or software engineering.
• Proficiency in Python, Scala, JavaScript/TypeScript.
• Experience with two or more Cloud ecosystems (AWS/Azure/GCP) and expertise in at least one.
• Deep experience with distributed computing with Apache Spark.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps and ML/AI models.
• Ability to design and deploy end-to-end data architectures and apps.

Responsibilities

• Lead production solution delivery by building reference architectures and data ingestion pipelines.
• Guide end-to-end design, build and deployment of large data and AI applications.
• Collaborate with engagement managers to scope technical delivery work with customer input.
• Own architecture decisions to ensure secure, scalable solutions aligned with best practices.
• Coordinate with engineering and support teams to address product and deployment feedback.
• Embed with customer teams to understand challenges and deliver measurable impact.
• Create reusable accelerators and frameworks that scale across accounts.

Skills

Data engineering

Data platforms

Software engineering

Python

Scala

JavaScript/TypeScript

Cloud (AWS/Azure/GCP)

Apache Spark

CI/CD

MLOps

Stakeholder management

Documentation

Enterprise clients

Tools

Databricks platform

Job description

Databricks is seeking a Senior Forward Deployed Engineer to own architecture and lead design decisions across data engineering, AI, and application development for customer projects. You will work with customers to productionize solutions on the Databricks platform, guiding end-to-end delivery.

This hands-on, customer-facing role requires strong engineering expertise, curiosity, and the ability to translate complex concepts into actionable results.