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","Documentation","White-boarding"]

Work with retail customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and key design decisions, delivering production-grade systems that combine data engineering, ML/AI model integration, and application development. Guide transformational big data initiatives end-to-end, collaborate cross-functionally with engineering and customer-facing teams, and contribute reusable accelerators that scale impact across accounts.

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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: 2 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Work with retail customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and key design decisions, delivering production-grade systems that combine data engineering, ML/AI model integration, and application development. Guide transformational big data initiatives end-to-end, collaborate cross-functionally with engineering and customer-facing teams, and contribute reusable accelerators that scale impact across accounts.
Location: 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, and data ingestion with ML/AI model integration.
  • •Guide strategic customers through end-to-end design, build, and deployment of big data and AI applications, scoping work with engagement managers.
  • •Advise customers on architecture and design and bootstrap/implement initiatives that support Databricks evaluation and adoption.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Collaborate with Databricks engineering, project management, architects, and customer support to deliver engagement components and provide product/implementation feedback.
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.
  • •Proficiency writing code in Python, Scala, or JavaScript/TypeScript with 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 and knowledge of Spark runtime internals.
  • •Familiarity with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringEnterprise clientsBig dataAI/ML
Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AIAI 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