Sr. Forward Deployed Engineer

Databricks Databricks · Data AI · Sydney, Australia · Professional Services Operations

Sr. Forward Deployed Engineer to embed with strategic customers, design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform. Owns architecture, leads design, and implements end-to-end systems spanning data engineering, AI, and application development. Hands-on, customer-facing role for software engineers, developers, and builders.

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

  • Software engineering expertise
  • Python
  • SQL
  • Java/Scala
  • JavaScript/TypeScript
  • modern frameworks
  • backend development
  • frontend development
  • systems integration
  • application delivery
  • data pipelines
  • ML/AI model integration
  • user-facing interfaces
  • working with AI APIs (OpenAI, Anthropic, Gemini)
  • leveraging AI code generation tools
  • delivering technical solutions in enterprise environments
  • collaboration
  • communication

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
  • backend
  • frontend
  • integrations
  • ML/AI model integration
  • user-facing applications
  • enterprise environments
  • AI APIs
  • AI code generation tools

Other signals

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