Sr. Staff Forward Deployed Engineer

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

Job summary

Databricks Asia Pacific Unified Analytics Pte. Ltd. seeks a Sr.

Staff Forward Deployed Engineer to embed with strategic customers and design, build, and deploy fullstack solutions on the Databricks platform and common stacks. You will own architecture, lead design decisions, and deliver end-to-end systems spanning data engineering, AI, and application development. This hands-on, customer-facing role targets software engineers who thrive where technology meets business outcomes, combining deep

Qualifications

• Strong software engineering background across backend, frontend, and integrations.
• Experience delivering production applications combining data pipelines, ML/AI models, and UI.
• Familiarity with AI APIs and AI-assisted development tools.
• Proven ability to deliver technical solutions in enterprise environments.

Responsibilities

• Own architecture and design decisions to ensure secure, scalable solutions.
• Design and develop fullstack applications spanning backend, frontend, and integrations.
• Lead production delivery from data ingestion to ML/AI model integration and user UI.
• Immerse with customer teams to understand challenges and deliver impact.
• Collaborate with Sales, Product, and Field Engineering to ensure smooth customer journeys.
• Create accelerators and best practices to scale impact across accounts.

Skills

Python

SQL

Java/Scala

JavaScript/TypeScript

Backend

Frontend

Systems integration

AI APIs

Tools

OpenAI API

Anthropic API

Gemini API

Job description

As a Sr. Staff Forward Deployed Engineer, 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.