Forward Deployment Engineer

Databricks Inc.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading data analytics company based in Singapore is seeking a Forward Deployed Engineer to design and deliver custom fullstack applications and solutions. This hands-on role requires expertise in architecture, application engineering, and cross-functional collaboration to drive impactful results. The ideal candidate excels in customer engagement and possesses familiarity with AI technologies. Join us to leverage technology and deliver measurable outcomes for our strategic customers.

Qualifications

• Demonstrated ability to design, build, and deploy production applications combining data pipelines, ML/AI models, and user interfaces.
• Familiarity with AI APIs such as OpenAI and leveraging AI code generation tools.

Responsibilities

• Lead architecture and design decisions for reliable and scalable solutions.
• Design and develop applications that bring data and AI to life for enterprise users.
• Deliver production-grade systems from ingestion to user-facing applications.
• Engage with customer teams to understand challenges and deliver solutions.
• Collaborate cross-functionally with Sales and Product teams.

Skills

Application Delivery

AI/ML Experience

Collaboration & Communication

Learning Mindset

Job description

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands‑on, customer‑facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

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

What we look for:

• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user‑facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C‑level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

About Databricks

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