Sr. Forward Deployed Engineer

Databricks
San Francisco, California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Cross-functional collaboration","Documentation","White-boarding","Conflict management"]

Work with customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and lead end-to-end design decisions across data engineering, ML/AI, and application development, delivering production-grade systems and reusable accelerators. Guide technical projects from scoping through deployment, embedding with customer teams and translating complex concepts into measurable outcomes while partnering with engineering, product, architects, and customer support.

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FursaFursa
Databricks
Databricks
2 days ago

Sr. Forward Deployed Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 46 minutes agoStatus: Live

Job Summary

Work with customers to build and productionize data and AI solutions on the Databricks platform. Own architecture and lead end-to-end design decisions across data engineering, ML/AI, and application development, delivering production-grade systems and reusable accelerators. Guide technical projects from scoping through deployment, embedding with customer teams and translating complex concepts into measurable outcomes while partnering with engineering, product, architects, and customer support.
Location: San Francisco, California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead customer technical projects by designing and building production-grade reference architectures, custom applications, and data ingestion with ML/AI model integration
  • •Guide strategic customers through transformational big data and AI implementations, including end-to-end design, build, and deployment
  • •Embed with customer teams, engage with stakeholders from technical ICs to executives, and ensure customers achieve successful understanding, evaluation, and adoption
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices
  • •Provide product and implementation feedback with engineering and Customer Support, and drive rapid resolution for engagement-specific product/support 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, 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 and knowledge of Spark runtime internals
  • •Knowledge of CI/CD, MLOps, ML/AI models, and AI APIs, including designing and deploying production end-to-end data architectures
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringDistributed computingBig dataAI/ML
Skills:Customer empathyAdaptabilityCuriosityCross-functional collaborationDocumentationWhite-boardingConflict management
Certifications:Databricks Certification
Languages:En
Tech Stack:DatabricksPythonScalaJavaScriptTypeScriptApache SparkCI/CDMLOpsAWSAzureGCPML/AIAI 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