Sr. Staff Forward Deployed Engineer

Databricks; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Databricks is seeking a Forward Deployed Engineer (FDE) to embed with our strategic customers, designing and delivering custom full-stack applications on the Databricks Data Intelligence Platform and related stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development for measurable business impact.

The role combines software engineering depth with business outcomes, requiring collaboration with customer

Qualifications

• Strong software engineering background across backend, frontend, and systems integration.
• Experience designing and deploying production applications.
• Experience with AI APIs (OpenAI, Anthropic, Gemini) in applications.
• Track record delivering technical solutions in enterprise environments.
• Ability to communicate with engineers and executives.
• Curiosity to learn new technologies and domains.

Responsibilities

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with 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.

Skills

Python

SQL

Java/Scala

JavaScript/TypeScript

Full-stack

AI APIs

Job description

CSQ327R198

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom full‑stack 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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.