Databricks

Technology

Sr.ForwardDeployedEngineer

S$180–280k ~AI est. Singapore, Singapore
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Sr. Forward Deployed Engineer at Databricks. Skills: Fullstack applications, Data Intelligence Platform, AI integration. Design custom applications. Deliver custom solutions”

What You'll Achieve.

Drive measurable outcomes

Industry & Context.

Technology
Problems you'll solve

Solving complex problems

What You'll Do.

Design custom applications

Deliver custom solutions

Lead design decisions

Implement end-to-end systems

Design backend applications

Develop frontend applications

Integrate applications

Deliver production systems

Integrate ML/AI models

Develop user-facing applications

Embed with customer teams

Engage with stakeholders

Understand customer challenges

Deliver customer impact

Partner with Field Engineering

Contribute accelerators

Contribute frameworks

Contribute best practices

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Customer teams; Sales; Product; Field Engineering

Communication Scope

Translate complex concepts

Full Job Description

CSQ327R142 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: 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: D

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