Senior Forward Deployed Engineer & Data Architect (Hybrid)

Databricks Inc.; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Databricks is seeking a Senior Forward Deployed Engineer (Technical Data Architect) in London, hybrid. You will own architecture, lead design decisions, and deliver end-to-end data, AI, and application solutions on the Databricks platform, working closely with customers and cross-functional teams.

The role blends engineering with customer impact, requiring hands-on delivery, strong communication, and the ability to translate complex concepts into actionable outcomes.

Qualifications

• Experience in data engineering, data platforms & analytics, or software engineering/full stack development.
• Cloud ecosystems across AWS, Azure, or GCP with expertise in at least one.
• Deep experience with distributed computing with Apache Spark and Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Design and deployment of end-to-end data architectures combining data pipelines and ML/AI models.

Responsibilities

• Lead production-grade customer technical projects with reference architectures and data ingestion and ML/AI model integration.
• Guide strategic customers through end-to-end design, build and deployment of big data and AI applications.
• Own architecture decisions, ensuring secure, scalable solutions aligned with customer needs and Databricks best practices.
• Collaborate with engineering, project managers, architects, and customer teams to deliver engagement components.
• Embed with customer teams and provide feedback to product and support for rapid issue resolution.

Skills

Data engineering & analytics

Cloud ecosystems (AWS/Azure/GCP)

Apache Spark & runtime internals

CI/CD for production

MLOps & AI models

End-to-end data architectures

Job description

Databricks is seeking a Senior Forward Deployed Engineer (Technical Data Architect) in London, hybrid. You will own architecture, lead design decisions, and deliver end-to-end data, AI, and application solutions on the Databricks platform, working closely with customers and cross-functional teams.

The role blends engineering with customer impact, requiring hands-on delivery, strong communication, and the ability to translate complex concepts into actionable outcomes.