Sr. Forward Deployed Engineer (FDE) - Retail

Databricks
Chicago, California
Workplace: RemoteFull timeUSD 182,000 - 250,208Function: Data Science & Machine LearningExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Stakeholder management","Documentation"]

Build and productionize customer solutions on the Databricks platform by owning end-to-end architecture and leading design decisions across data engineering, AI/ML, and application development. Deliver production-grade reference architectures and custom applications, guide customers through transformational big data initiatives, and embed with stakeholders to drive measurable outcomes. Contribute reusable accelerators and provide product/implementation feedback to Databricks teams, with ~20% customer travel.

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: 20 hours agoStatus: Live

Job Summary

Build and productionize customer solutions on the Databricks platform by owning end-to-end architecture and leading design decisions across data engineering, AI/ML, and application development. Deliver production-grade reference architectures and custom applications, guide customers through transformational big data initiatives, and embed with stakeholders to drive measurable outcomes. Contribute reusable accelerators and provide product/implementation feedback to Databricks teams, with ~20% customer travel.
Location: Chicago, California
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Drive transformational big data and AI implementations end-to-end, working with engagement managers to scope delivery work.
  • •Guide customers on architecture and design, bootstrap/implement initiatives to support Databricks understanding, evaluation, and adoption.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams, deliver feedback to Databricks engineering/support, and contribute accelerators and best practices that scale across accounts.
Travel: Medium travel

Pay and Benefits

Salary: USD 182,000 - 250,208
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 at least two cloud ecosystems (AWS, Azure, GCP), with expertise in one.
  • •Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
  • •Familiarity with CI/CD for production deployments and working knowledge of MLOps, ML/AI models, and AI APIs.
Experience:6+ years
Skills:Customer empathyAdaptabilityCuriosityStakeholder managementDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsAI APIsDelta 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