Staff Forward Deployed Engineer

DATABRICKS ASIAPAC UNIFIED ANALYTICS PTE. LTD.; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Databricks AsiaPacific Unified Analytics Pte. Ltd. seeks a Staff Forward Deployed Engineer to embed with strategic customers and design fullstack solutions on the Databricks Data Intelligence Platform and other common stacks.

You will own architecture, lead design decisions, and implement end-to-end systems across data engineering, AI, and application development. This is a hands-on, customer-facing role for software engineers who thrive at the intersection of technology and business impact,

Qualifications

• Strong background in software engineering with experience across backend, frontend, and systems integration.
• Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript and modern frameworks.
• Experience deploying production applications that combine data pipelines and ML/AI models.

Responsibilities

• Own architecture and lead design decisions, ensuring secure, scalable solutions aligned with customer needs.
• Design and develop end-to-end applications spanning backend, frontend, and integrations on Databricks platform.
• Deliver production-grade systems from data ingestion through ML/AI model integration to user-facing apps.
• Embed with customer teams and engage with stakeholders from ICs to executives to understand challenges.
• Collaborate with Sales, Product, and Field Engineering to ensure smooth customer journey from pre-sales to post-deployment.
• Contribute accelerators, frameworks, and best practices to scale impact across accounts.

Tools

OpenAI API

Anthropic API

Gemini API

Job description

As a Staff Forward Deployed Engineer (Staff 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:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• 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.