Sr. Staff Forward Deployed Engineer

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

Embed directly with strategic enterprise customers to design and deliver custom full-stack applications on the Databricks Data Intelligence Platform. Own architecture and lead design decisions that span backend, frontend, data ingestion and transformation, and ML/AI model integration. Deliver production-grade systems end-to-end while immersing with technical and executive stakeholders. Partner cross-functionally with Sales, Product, and Field Engineering to drive seamless pre-sales to post-deployment customer outcomes.

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FursaFursa
Databricks
Databricks
2 months ago

Sr. Staff Forward Deployed Engineer

✓ Verified Job

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

Job Summary

Embed directly with strategic enterprise customers to design and deliver custom full-stack applications on the Databricks Data Intelligence Platform. Own architecture and lead design decisions that span backend, frontend, data ingestion and transformation, and ML/AI model integration. Deliver production-grade systems end-to-end while immersing with technical and executive stakeholders. Partner cross-functionally with Sales, Product, and Field Engineering to drive seamless pre-sales to post-deployment customer outcomes.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Embed with strategic customers to design and deliver custom full-stack applications and solutions on the Databricks platform.
  • •Own solution architecture and lead design decisions to ensure secure, scalable implementations aligned with customer needs and Databricks best practices.
  • •Design and develop applications across backend, frontend, and integrations, bringing data and AI to enterprise users.
  • •Deliver production-grade systems end-to-end, from data ingestion and transformation through ML/AI model integration to user-facing applications.
  • •Collaborate cross-functionally with Sales, Product, and Field Engineering to support the customer journey from pre-sales through post-deployment.

Key Requirements

  • •Strong software engineering background across backend, frontend, and systems integration, with proficiency in Python, SQL, Java/Scala, and JavaScript/TypeScript.
  • •Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • •Familiarity integrating AI APIs such as OpenAI, Anthropic, and Gemini into applications, plus using AI code generation tools.
  • •Proven track record delivering technical solutions in enterprise environments that drive measurable outcomes.
  • •Ability to communicate and collaborate effectively across stakeholders, from engineers to C-level executives.
Experience:EnterpriseData engineeringAI/ML
Skills:CommunicationCollaborationProblem-solvingAdaptabilityLearning mindset
Languages:English
Tech Stack:Databricks Data Intelligence PlatformPythonSQLJavaScalaJavaScriptTypeScriptOpenAIAnthropicGeminiApache SparkDelta LakeMLflow

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