Senior Forward Deployed Engineer (Full Stack)

TL;DR

Senior Forward Deployed Engineer (Full Stack) (Data & AI): Building and productionizing customer solutions on the Databricks platform with an accent on end-to-end data engineering, AI/ML integration, and customer-facing application development. Focus on designing secure, scalable reference architectures, delivering production-grade systems, and embedding with customer teams to drive measurable outcomes.

Location: Hybrid – London

Company

Databricks provides a data and AI platform used by thousands of organizations worldwide.

What you will do

• Lead production solution delivery for customer technical projects, including reference architectures, data ingestion, and ML/AI model integration.
• Design, build, and deploy end-to-end big data and AI applications, translating customer requirements into actionable delivery plans.
• Own architecture and lead design decisions to ensure solutions are secure, scalable, and aligned with Databricks best practices.
• Embed with customer teams, guide technical architecture and design, and support evaluation and adoption of Databricks.
• Collaborate with Databricks engineering, project management, architects, and customer support to resolve engagement-specific product and implementation issues.
• Contribute reusable accelerators, frameworks, and best practices to scale impact across accounts.

Requirements

• Extensive experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable coding in Python, Scala, and/or JavaScript/TypeScript with modern frameworks.
• Working knowledge of at least two cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
• Deep experience with distributed computing using Apache Spark, including knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models, and AI APIs.

Culture & Benefits

• Customer-facing, hands-on role focused on delivering production-grade outcomes.
• Hybrid work setup based in London, with travel to customers about 20% of the time.
• Opportunity to influence technical delivery and contribute reusable assets that scale across accounts.
• Comprehensive benefits and perks available by region.

Hiring process

• Interviews to assess technical depth across data engineering, Spark, and production delivery.
• Evaluation of customer-facing problem solving and ability to translate requirements into end-to-end systems.
• Discussion of fit for hands-on, billable forward-deployed engagements.