Senior Forward-Deployed Data & AI Architect

databricks; Greater London; Sur place; GBP 90 000 - 150 000; Plein temps

Résumé du poste

Databricks is seeking a Forward Deployed Engineer in London to lead production-grade data and AI solutions for customers, owning architecture and end-to-end delivery from data ingestion to ML model integration.

The role blends engineering with strategic advisory, requiring deep expertise in Spark, cloud ecosystems, and enterprise client delivery. Travel ~20% and strong customer empathy are essential.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, JavaScript/TypeScript.
• Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Responsabilités

• Lead production-grade solution delivery including reference architectures, custom apps, data ingestion and ML/AI model integration.
• Guide transformational big data projects from end-to-end design to deployment.
• Bootstrap or implement customer projects to ensure adoption of Databricks.
• Own architecture decisions ensuring security, scalability, and alignment with customer needs and Databricks best practices.
• Collaborate with Databricks technical team, Project Manager, Architect and Customer teams to deliver engagements.
• Provide product and implementation feedback to engineering and support for rapid issue resolution.
• Embed with customer teams across technical ICs to executives to understand challenges and deliver impact.
• Create accelerators, frameworks, and best practices that scale across accounts and influence the product roadmap.

Connaissances

6+ years experience data eng/analytics

Cloud knowledge (AWS/Azure/GCP)

CI/CD for production

MLOps knowledge

End-to-end data/ML architecture

Documentation & white-boarding

Enterprise client experience

Travel 20%

Databricks Certification

Outils

Python

Scala

JavaScript/TypeScript

Spark (Apache Spark)

Description du poste

Databricks is seeking a Forward Deployed Engineer in London to lead production-grade data and AI solutions for customers, owning architecture and end-to-end delivery from data ingestion to ML model integration.

The role blends engineering with strategic advisory, requiring deep expertise in Spark, cloud ecosystems, and enterprise client delivery. Travel ~20% and strong customer empathy are essential.