Senior Forward Deployed Engineer: Data & AI Architect

Databricks Inc.; London (KY); Hybrid; USD 160,000 - 254,000; Full time

Job summary

Databricks Inc. in London is seeking a Senior Forward Deployed Engineer - Architect All levels to own end-to-end data/AI solution delivery for customers. You will lead design decisions, champion scalable architectures, and collaborate with cross-functional teams to ensure successful deployments.

This hands-on, customer-facing role requires strong engineering skills, adaptability, and a focus on measurable outcomes, with travel around 20%.

Qualifications

• Experience in data engineering, data platforms or software engineering.
• Proficient in Python, Scala or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS, Azure, GCP).
• Deep experience with distributed computing and Spark.
• Familiarity with CI/CD for production deployments.
• Knowledge of MLOps and ML/AI models.
• Ability to translate complex concepts into actionable solutions.
• Willingness to travel ~20%.
• Databricks Certification preferred but not essential.

Responsibilities

• Lead production-grade solution delivery including architecture, data ingestion and ML model integration.
• Own architecture decisions to ensure secure and scalable designs.
• Embed with customer teams to understand challenges and deliver impact.
• Collaborate with engineering, product and customer teams to meet engagement goals.
• Provide feedback to product and support to guide rapid issue resolution.
• Develop reusable accelerators and best practices across accounts.

Skills

Data engineering

Cloud platforms

CI/CD

MLOps

Python/Scala/JavaScript

Distributed computing

Tools

Apache Spark

AWS

Azure

GCP

Job description

Databricks Inc. in London is seeking a Senior Forward Deployed Engineer - Architect All levels to own end-to-end data/AI solution delivery for customers. You will lead design decisions, champion scalable architectures, and collaborate with cross-functional teams to ensure successful deployments.

This hands-on, customer-facing role requires strong engineering skills, adaptability, and a focus on measurable outcomes, with travel around 20%.