Sr. Forward Deployed Engineer

Databricks
New York, California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Software EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","Stakeholder management"]

Partner with customers to design and deliver production-grade data and AI solutions on the Databricks platform. Own end-to-end system architecture and implementation across data engineering, ML/AI integrations, and application development. Lead reference architectures, custom applications, and secure, scalable deployments while working cross-functionally with engineering, product, developer relations, project management, and customer support. Build reusable assets that scale impact and travel to embed with customer teams.

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FursaFursa
Databricks
Databricks
3 days ago

Sr. Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Partner with customers to design and deliver production-grade data and AI solutions on the Databricks platform. Own end-to-end system architecture and implementation across data engineering, ML/AI integrations, and application development. Lead reference architectures, custom applications, and secure, scalable deployments while working cross-functionally with engineering, product, developer relations, project management, and customer support. Build reusable assets that scale impact and travel to embed with customer teams.
Location: New York, California
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery by designing and building reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Drive transformational big data and AI implementations through end-to-end design, build, and deployment aligned to scoped delivery plans.
  • •Guide customers on architecture and design, bootstrap or implement projects, and support successful evaluation and adoption of Databricks solutions.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Contribute reusable accelerators, frameworks, and best practices that scale impact across accounts while working with technical and support teams for feedback and resolution.
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.
  • •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 and knowledge of Spark runtime internals.
  • •Experience with CI/CD and working knowledge of MLOps, ML/AI models, and AI APIs.
Experience:6+ years
Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CD

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