IT & Software

Forward Deployed Engineering - Senior Architect

DataBricks

London · Greater London · United Kingdom

Overview

In this role you will lead production-grade data and AI solutions for customers on the Databricks platform. You own architecture, guide design decisions, and deliver end-to-end systems spanning data engineering, AI, and application layers. You work closely with cross-functional teams to enable customer adoption and drive measurable outcomes. The role is hands-on and customer-facing, emphasizing empathy, rapid problem solving, and scalable accelerators to impact multiple accounts.

Responsibilities
  • Lead production solution delivery and build reference architectures, data ingestion pipelines, 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 security, scalability, and alignment with Databricks best practices
  • Collaborate with engineering, project management, architect, and customer teams to deliver engagements
  • Provide product and implementation feedback to enable rapid issue resolution
  • Embed with customer teams to deeply understand challenges and deliver impact
  • Develop reusable accelerators and frameworks to scale impact across accounts and inform product roadmap
Key requirements
  • 6+ years of experience in data engineering, data platforms & analytics, or software engineering
  • Proficiency in Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Experience with two or more cloud ecosystems (AWS, Azure, GCP) and expertise in at least one
  • Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of end-to-end data architectures and applications combining data pipelines, ML/AI models, and user interfaces
  • Experience with technical project delivery and stakeholder management
  • Documentation and white-boarding skills
  • Enterprise client exposure and conflict management across stakeholders
  • Willingness to travel to customers (20%)
  • Databricks Certification
  • customer empathy
  • adaptability
  • curiosity
  • Python
  • Scala
  • JavaScript/TypeScript

Reference: WJ-747_30847287

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