Sr. Forward Deployed Engineer (FDE) - Retail

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

Partner with customers to build and productionize end-to-end data, AI, and application solutions on the Databricks platform. Own architecture and lead design decisions for reference implementations, custom applications, and ML/AI model integration, while scoping delivery with engagement managers. Work cross-functionally with engineering, product, project management, and customer support, embed with customer teams, and create reusable accelerators that improve adoption and influence the roadmap.

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FursaFursa
Databricks
Databricks
1 month ago

Sr. Forward Deployed Engineer (FDE) - Retail

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Partner with customers to build and productionize end-to-end data, AI, and application solutions on the Databricks platform. Own architecture and lead design decisions for reference implementations, custom applications, and ML/AI model integration, while scoping delivery with engagement managers. Work cross-functionally with engineering, product, project management, and customer support, embed with customer teams, and create reusable accelerators that improve adoption and influence the roadmap.
Location: California, United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead production-grade customer technical projects by designing and building reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Guide strategic customers on transformational big data and AI implementations, including end-to-end design, build, and deployment in partnership with engagement managers.
  • •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, and customer teams to deliver technical components of engagements and provide implementation feedback.
  • •Embed with customer teams, engage stakeholders from technical ICs to executives, and contribute accelerators, frameworks, and best practices to scale impact.
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 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+ yearsData engineeringData platformsAnalyticsEnterprise clientsDistributed computingMLOps
Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsAI APIsMLflowDelta LakeLakehouseDistributed computing

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