Sr. Forward Deployed Engineer

Databricks
Chicago, California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer empathy","Adaptability","Curiosity","Problem-solving","Stakeholder management"]

Build and productionize customer solutions for data and AI challenges using the Databricks platform. Own architecture and lead end-to-end delivery across data engineering, ML/AI model integration, and application development, while guiding design decisions and ensuring secure, scalable implementations. Work cross-functionally with engineering, product, developer relations, project managers, and customer teams to deliver measurable outcomes, provide technical feedback, scale reusable assets, and support deployments.

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FursaFursa
Databricks
Databricks
3 days ago

Sr. Forward Deployed Engineer

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for data and AI challenges using the Databricks platform. Own architecture and lead end-to-end delivery across data engineering, ML/AI model integration, and application development, while guiding design decisions and ensuring secure, scalable implementations. Work cross-functionally with engineering, product, developer relations, project managers, and customer teams to deliver measurable outcomes, provide technical feedback, scale reusable assets, and support deployments.
Location: Chicago, California
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, including reference architectures, data ingestion, and ML/AI model integration.
  • •Guide strategic customers through end-to-end big data and AI project design, build, and deployment in partnership with engagement managers.
  • •Design and implement secure, scalable architectures aligned with customer needs and Databricks best practices.
  • •Work with internal Databricks teams to deliver engagement technical components and provide product/implementation feedback to support issues.
  • •Embed with customer teams to understand challenges, contribute reusable accelerators/frameworks, and scale impact across accounts.
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, 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.
  • •Experience with CI/CD for production deployments and familiarity with MLOps and AI APIs.
Experience:Data engineeringData platformsAnalyticsSoftware engineering
Skills:Customer empathyAdaptabilityCuriosityProblem-solvingStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptAWSAzureGCPApache SparkCI/CDMLOpsML/AIAI APIsData ingestionDistributed 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