Sr. Forward Deployed Engineer

Databricks
Singapore

Who this role is best for

Aimed at experienced engineers with a customer-facing mindset who excel in fullstack development and AI integration, particularly in enterprise environments.

Best fit for

  • Experienced engineers with a proven track record in enterprise application delivery and AI integration
    — “Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.”
  • Candidates who can translate complex technical concepts into business outcomes and engage with diverse stakeholders
    — “Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.”
  • Individuals who thrive in hands-on, customer-centric roles and can lead technical decisions
    — “This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact.”

Things to consider

  • The role requires embedding with customer teams, which may demand flexibility in location and availability.
    — “Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.”
  • Candidates must be prepared to work with export-controlled technology if required by the role.
    — “If access to export-controlled technology or source code is required for performance of job duties”

How to stand out

  • Highlight your experience in delivering measurable outcomes in enterprise environments.
    — “Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.”
  • Showcase your ability to lead end-to-end systems design and implementation.
    — “Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.”
  • Demonstrate familiarity with AI APIs and code generation tools in your projects.
    — “Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications”
  • Emphasize your background in fullstack development across backend, frontend, and integrations.
    — “Strong background in software engineering with experience across backend, frontend, and systems integration.”
  • Demonstrate your capability to collaborate with cross-functional teams like Sales and Product.
    — “Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Delivered production-grade systems
  • Embedded with customer teams
  • Contributed to Databricks product roadmap
Typical background
Strong background in software engineeringExperience in backend, frontend, and systems integration

Skills & requirements

Required

Software EngineeringArchitecture DesignFullstack DevelopmentAi/ml IntegrationCustomer EngagementCross-functional Collaboration

Preferred

Openai API IntegrationAnthropic API IntegrationGemini API IntegrationAI Code Generation Tools

Stack & domain

PythonSQLJavaScalaJavaScriptTypeScriptOpenaiAnthropicGeminiAI Code Generation ToolsLeadershipCommunicationCollaborationCuriosityAdaptabilityData EngineeringAIApplication DevelopmentEnterpriseCustomer ImmersionCross-functional Collaboration

About the role

Original posting from Databricks

CSQ427R248

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: 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

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Compliance

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.

Source: Databricks careers

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