Sr. Forward Deployed Engineer (FDE) - Retail

Databricks
California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Technical project delivery","Documentation"]

Build and productionize customer solutions on the Databricks platform as a hands-on, customer-facing Forward Deployed Engineer. Own end-to-end architecture and design decisions across data engineering, ML/AI model integration, and application development, delivering production-grade systems and reference architectures. Collaborate with engineering, product, developer relations, and customer teams to scope delivery, resolve product/support issues, and scale reusable accelerators across accounts while traveling to customers as needed.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Databricks
Databricks
1 month ago

Sr. Forward Deployed Engineer (FDE) - Retail

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and productionize customer solutions on the Databricks platform as a hands-on, customer-facing Forward Deployed Engineer. Own end-to-end architecture and design decisions across data engineering, ML/AI model integration, and application development, delivering production-grade systems and reference architectures. Collaborate with engineering, product, developer relations, and customer teams to scope delivery, resolve product/support issues, and scale reusable accelerators across accounts while traveling to customers as needed.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead production-grade customer technical projects, including reference architectures, custom applications, data ingestion, and ML/AI model integration
  • •Guide strategic customers implementing transformational big data and AI applications from end-to-end design through build and deployment
  • •Bootstrap or implement customer projects to support evaluation, adoption, and successful understanding of Databricks
  • •Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
  • •Collaborate cross-functionally with engineering, product/project teams, and customer support to deliver technical components and provide product/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
  • •Comfortable writing code in Python, Scala, JavaScript/TypeScript, and 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 and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataAI/ML
Skills:Customer empathyAdaptabilityCuriosityTechnical project deliveryDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI APIsDatabricksDelta 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