Sr. Forward Deployed Engineer (FDE) - Digital Native Business

Databricks
Mountain View
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","White-boarding"]

Work with customers to architect, design, and productionize end-to-end data and AI solutions on the Databricks Platform. You’ll lead production solution delivery, guide transformational big data and AI projects, and embed with customer teams to understand needs from technical ICs to executives. Build secure, scalable architectures, implement data ingestion and ML/AI integrations, and contribute reusable accelerators that scale impact across accounts.

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FursaFursa
Databricks
Databricks
1 month ago

Sr. Forward Deployed Engineer (FDE) - Digital Native Business

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Work with customers to architect, design, and productionize end-to-end data and AI solutions on the Databricks Platform. You’ll lead production solution delivery, guide transformational big data and AI projects, and embed with customer teams to understand needs from technical ICs to executives. Build secure, scalable architectures, implement data ingestion and ML/AI integrations, and contribute reusable accelerators that scale impact across accounts.
Location: Mountain View
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead customer technical projects by delivering production-grade systems, reference architectures, custom applications, and data ingestion with ML/AI integration.
  • •Guide strategic and transformational big data and AI implementations end-to-end, working with engagement managers to scope delivery work.
  • •Bootstrap and implement customer projects to support successful understanding, evaluation, and adoption of Databricks.
  • •Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams, collaborate with Databricks technical teams and support to provide product/implementation feedback, and resolve engagement-specific issues.
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, and/or JavaScript/TypeScript with 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 Spark runtime internals.
  • •Familiarity with CI/CD, MLOps/ML/AI model integration, and production end-to-end data architecture and applications.
Experience:6+ years
Skills:Customer empathyAdaptabilityCuriosityDocumentationWhite-boarding
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AI modelsAI 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