Forward Deployment Engineer

Databricks Databricks · Data AI · Singapore · Professional Services Operations

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

What you'd actually do

  1. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  2. Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
  3. Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
  4. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  5. Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.

Skills

Required

  • Strong background in software engineering
  • experience across backend, frontend, and systems integration
  • Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks
  • Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces
  • Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications
  • leveraging AI code generation tools to accelerate productivity
  • Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes
  • Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions

Nice to have

  • adaptability
  • curiosity
  • passion for solving complex problems
  • Learning Mindset
  • eagerness to explore new technologies, domains, and customer challenges

What the JD emphasized

  • custom fullstack applications
  • end-to-end systems
  • data engineering
  • AI
  • application development
  • fullstack
  • data pipelines
  • ML/AI model integration
  • user-facing applications
  • AI APIs
  • AI code generation tools

Other signals

  • customer-facing
  • fullstack applications
  • end-to-end systems
  • data engineering
  • AI integration
  • application development