Forward Deployed Engineer
Databricks22 hours ago
London, United KingdomSenior
Responsibilities
- Own architecture and design decisions for secure, scalable customer solutions aligned with Databricks best practices.
- Design and develop full-stack applications spanning backend, frontend, integrations, data engineering, and AI.
- Deliver production-grade systems from data ingestion and transformation through model integration and user-facing applications.
- Embed with strategic customers, engage stakeholders from technical individual contributors through executives, and deliver measurable outcomes.
- Partner with Sales, Product, and Field Engineering throughout pre-sales and post-deployment delivery.
- Create reusable accelerators, frameworks, and best practices that scale across customer accounts and influence the product roadmap.
Requirements
- Strong software engineering background across backend, frontend, and systems integration.
- Proficiency in Python, SQL, Java or Scala, JavaScript or TypeScript, and modern frameworks.
- Experience designing, building, and deploying production applications combining data pipelines, ML/AI models, and user-facing interfaces.
- Experience integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications.
- Proven track record delivering technical solutions in enterprise environments with measurable outcomes.
- Ability to communicate complex technical concepts to engineers, business stakeholders, and C-level executives.
- Curiosity, adaptability, and willingness to explore new technologies, domains, and customer challenges.
- Ability and interest to travel up to 50% as needed to client sites.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details available through the benefits information link.
Tech Stack
Categories
Forward Deployed
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.