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

Databricks
San Francisco, California, New York
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Collaboration","Documentation","White-boarding"]

Build and productionize customer-facing solutions to data and AI challenges using the Databricks platform. Own architecture and lead end-to-end system design and implementation across data engineering, AI/ML integrations, and application development. Deliver production-grade systems, guide strategic customers through big data initiatives, and embed with customer teams to drive measurable outcomes. Contribute reusable accelerators and work closely with engineering, product, developer relations, and support to improve solutions and resolve engagement issues.

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FursaFursa
Databricks
Databricks
2 days ago

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

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

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

Job Summary

Build and productionize customer-facing solutions to data and AI challenges using the Databricks platform. Own architecture and lead end-to-end system design and implementation across data engineering, AI/ML integrations, and application development. Deliver production-grade systems, guide strategic customers through big data initiatives, and embed with customer teams to drive measurable outcomes. Contribute reusable accelerators and work closely with engineering, product, developer relations, and support to improve solutions and resolve engagement issues.
Location: San Francisco, California, New York
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead customer technical projects by delivering production-grade systems and reference architectures, including custom applications and data ingestion/ML-AI integrations.
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications, working with engagement managers on scope.
  • •Bootstrap and implement customer projects to drive successful understanding, evaluation, and adoption of Databricks.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Collaborate with Databricks technical teams and customer support on implementation delivery, product feedback, and rapid resolution of engagement issues.
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, and/or JavaScript/TypeScript with modern frameworks.
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
  • •Deep experience with distributed computing and Apache Spark, including Spark runtime internals.
  • •Knowledge of CI/CD for production deployments and familiarity with MLOps, ML/AI models, and AI APIs.
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:Customer empathyAdaptabilityCuriosityCollaborationDocumentationWhite-boarding
Certifications:Databricks Certification
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AIAI 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