Sr. Forward Deployed Engineer (FDE) - Retail

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

Work with retail customers to design and productionize data and AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery spanning data engineering, ML/AI model integration, and application development, collaborating with engineering, product, project management, and developer relations. Guide customers through transformational big-data and AI initiatives, embed with stakeholder teams, and contribute reusable accelerators that scale impact across accounts and influence the product roadmap.

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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: 5 hours agoStatus: Live

Job Summary

Work with retail customers to design and productionize data and AI solutions on the Databricks platform. Own architecture and lead end-to-end delivery spanning data engineering, ML/AI model integration, and application development, collaborating with engineering, product, project management, and developer relations. Guide customers through transformational big-data and AI initiatives, embed with stakeholder teams, and contribute reusable accelerators that scale impact across accounts and influence the product roadmap.
Location: Denver, 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, and data ingestion with ML/AI integration.
  • •Guide transformational customer big data and AI initiatives from end-to-end design through build and deployment, scoping work with engagement managers.
  • •Assist customers with architecture and design and bootstrap/implement projects to drive evaluation, adoption, and successful understanding of Databricks.
  • •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 teams, and customer support to deliver technical engagement components and provide product/implementation feedback, including rapid resolution of engagement-specific issues.
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, 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, including knowledge of Spark runtime internals.
  • •Experience with CI/CD, MLOps, ML/AI models, and AI APIs, plus production deployment of end-to-end data architectures.
  • •Documentation and white-boarding skills, along with experience delivering technical projects with measurable outcomes.
Experience:6+ yearsData engineeringData platformsAnalyticsBig dataMLOpsEnterprise clientsDistributed computing
Skills:Customer empathyAdaptabilityCuriosityStakeholder communicationDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsML/AI modelsAI APIsMLflowDelta Lake

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