Sr. Forward Deployed Engineer

Databricks
Singapore
Workplace: OnsiteFull-timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Problem-solving"]

Embed with strategic customers to design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development for enterprise environments, collaborating across sales, product, and field engineering to ensure measurable business impact.

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FursaFursa
Databricks
Databricks
3 months ago

Sr. Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Embed with strategic customers to design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. Own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development for enterprise environments, collaborating across sales, product, and field engineering to ensure measurable business impact.
Location: Singapore
Workplace: Onsite
Job Function: Software Engineering

Key Responsibilities

  • •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.

Key Requirements

  • •Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
  • •Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • •Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity.
  • •Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
  • •Excellent collaboration and communication across a broad range of stakeholders, from engineers to C-level executives; learning mindset and adaptability.
Experience:Enterprise softwareData engineeringAIOpenAIGemini
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:PythonSQLJavaScalaJavaScriptTypeScriptOpenAIAnthropicGeminiMLDatabricks

Company Brief

Databricks
Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2013
WebsiteLinkedIn