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

Databricks
San Francisco
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","White-boarding"]

Work hands-on with customers to build and productionize data and AI solutions on the Databricks platform. Own end-to-end architecture and design decisions, leading delivery of production systems that combine data engineering, ML/AI model integration, and application development. Guide technical stakeholders from ICs to executives, contribute reusable accelerators and best practices, and collaborate with Databricks engineering, product, and support to ensure successful deployments and feedback loops.

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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 hands-on with customers to build and productionize data and AI solutions on the Databricks platform. Own end-to-end architecture and design decisions, leading delivery of production systems that combine data engineering, ML/AI model integration, and application development. Guide technical stakeholders from ICs to executives, contribute reusable accelerators and best practices, and collaborate with Databricks engineering, product, and support to ensure successful deployments and feedback loops.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production-grade customer technical projects, including designing and building reference architectures and data ingestion/ML-using integrations.
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications, scoping delivery with engagement managers.
  • •Advise customers on architecture and design and bootstrap/implement projects to drive evaluation and adoption of Databricks.
  • •Own architecture and ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams to understand challenges across stakeholders and deliver impact while providing product/implementation feedback to Databricks teams.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208 annually

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.
  • •Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP), with expertise in at least one.
  • •Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
  • •Working knowledge of CI/CD for production deployments and MLOps/ML/AI models and AI APIs.
Experience:6+ yearsData engineeringData platformsAnalyticsDistributed computingMLOpsAI/ML
Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIs

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