Sr. Forward Deployed Engineer

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

Deliver production-grade solutions to customers’ data and AI challenges on the Databricks platform. Own architecture and lead end-to-end design decisions across data engineering, ML/AI model integration, and application development. Work cross-functionally with engineering, product, developer relations, project managers, and customer support to scope, implement, and troubleshoot engagements—while building reusable assets that scale across accounts.

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FursaFursa
Databricks
Databricks
3 days ago

Sr. Forward Deployed Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Deliver production-grade solutions to customers’ data and AI challenges on the Databricks platform. Own architecture and lead end-to-end design decisions across data engineering, ML/AI model integration, and application development. Work cross-functionally with engineering, product, developer relations, project managers, and customer support to scope, implement, and troubleshoot engagements—while building reusable assets that scale across accounts.
Location: 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, reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Guide strategic customers through transformational big data and AI initiatives, including end-to-end design, build, and deployment.
  • •Bootstrap and implement customer projects to drive successful understanding, evaluation, and adoption 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 managers, architects, and customer support to deliver engagement needs and provide product/implementation feedback.
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, including Spark runtime internals.
  • •Familiarity with CI/CD and experience with MLOps, ML/AI models, and AI APIs.
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineeringBig dataAI/ML
Skills:Customer empathyAdaptabilityCuriosityCommunicationDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptCI/CDAWSAzureGCPApache SparkDistributed computingMLOpsML/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