Senior Data & AI Solutions Architect - London (Hybrid)

Databricks Inc.; City Of London; Hybrid; GBP 110,000 - 170,000; Full time

Job summary

Databricks is seeking a Senior Forward Deployed Engineer in London on a hybrid basis. You will own architecture, lead design decisions, and deliver production‑grade data, AI, and application solutions for customers using the Databricks platform.

You will collaborate with engineering, product, and customer teams, build reference architectures, and contribute accelerators and best practices. The role requires deep expertise in data engineering or software engineering, Spark, cloud platforms, and

Qualifications

• Strong experience in data engineering, data platforms, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with distributed computing using Apache Spark.
• Knowledge of two or more cloud platforms (AWS, Azure, GCP).
• Familiar with CI/CD for production deployments.
• Experience delivering technical projects to enterprise clients.
• Excellent communication and collaboration with cross-functional teams.
• Willingness to travel ~20%.

Responsibilities

• Lead production-grade customer projects from design to deployment.
• Architect end-to-end data, AI, and application solutions on Databricks.
• Mentor and collaborate with engineering, product, and customer teams.
• Deliver reusable accelerators and best practices across accounts.
• Communicate complex concepts to stakeholders.

Skills

Data engineering

Data platforms

Software engineering

Python

Scala

JavaScript

TypeScript

AWS

Azure

GCP

Spark

CI/CD

MLOps

Databricks

Architecture design

Tools

Databricks

Job description

Databricks is seeking a Senior Forward Deployed Engineer in London on a hybrid basis. You will own architecture, lead design decisions, and deliver production‑grade data, AI, and application solutions for customers using the Databricks platform.

You will collaborate with engineering, product, and customer teams, build reference architectures, and contribute accelerators and best practices. The role requires deep expertise in data engineering or software engineering, Spark, cloud platforms, and