Senior Data & AI Architect - Forward Deployed Engineer

Menlo Ventures; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer Architect to work with customers to build and productionize data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, implement end-to-end systems, and mentor teams across data engineering, AI, and application development.

This hands-on, customer-facing role requires adaptability, curiosity, and a passion for delivering measurable business outcomes with exceptional customer empathy.

Qualifications

• Extensive experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
• 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

Responsibilities

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Work with engagement managers to scope technical delivery work with input from the customer.
• Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Collaborate with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Provide product and implementation feedback and guide rapid resolution for engagement-specific product and support issues.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Skills

Data engineering

Data platforms & analytics

Software engineering

Python

Scala

JavaScript/TypeScript

Apache Spark

MLOps

CI/CD

Distributed computing

Tools

Databricks

Job description

Databricks is seeking a Forward Deployed Engineer Architect to work with customers to build and productionize data and AI solutions on the Databricks platform. You will own architecture, lead design decisions, implement end-to-end systems, and mentor teams across data engineering, AI, and application development.

This hands-on, customer-facing role requires adaptability, curiosity, and a passion for delivering measurable business outcomes with exceptional customer empathy.