Sr. Forward Deployed Engineer (FDE) - Digital Native Business

Databricks
San Francisco
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Technical problem-solving","Stakeholder management"]

Work with customers as a hands-on, billable Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks Platform. Own architecture and lead end-to-end design decisions spanning data engineering, ML/AI integration, and application development. Deliver production-grade systems, guide customers on scalable reference architectures, embed with customer teams, and contribute reusable accelerators that help scale impact across accounts.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
2 days ago

Sr. Forward Deployed Engineer (FDE) - Digital Native Business

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Work with customers as a hands-on, billable Forward Deployed Engineer to build and productionize data and AI solutions on the Databricks Platform. Own architecture and lead end-to-end design decisions spanning data engineering, ML/AI integration, and application development. Deliver production-grade systems, guide customers on scalable reference architectures, embed with customer teams, and contribute reusable accelerators that help scale impact across accounts.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Guide strategic customers through transformational big data and AI implementations from end-to-end design through deployment.
  • •Architect solutions that are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams to engage stakeholders and deliver measurable impact while translating complex concepts into actionable implementations.
  • •Contribute reusable accelerators/frameworks and work with Databricks engineering and support teams to deliver product and implementation feedback.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually
Equity and Bonus:Equity

Key Requirements

  • •6+ years of experience in data engineering, data platforms & analytics, or software engineering.
  • •Comfort writing code in Python, Scala, or JavaScript/TypeScript with modern frameworks.
  • •Expertise with distributed computing using Apache Spark and knowledge of Spark runtime internals.
  • •Working knowledge of CI/CD for production deployments and familiarity with MLOps, ML/AI models, and AI APIs.
  • •Experience delivering technical projects with enterprise clients, including scope/timeline management and measurable outcomes.
Experience:6+ yearsData engineeringData platformsAnalyticsDistributed computingEnterprise clientsBig dataMLOpsMachine learning
Skills:Customer empathyAdaptabilityCuriosityTechnical problem-solvingStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIsData pipelines

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