Sr. Forward Deployed Engineer

Databricks
California
Workplace: RemoteFull timeUSD 182,000 - 250,208 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer empathy","Documentation","White-boarding","Stakeholder management","Adaptability"]

Build and productionize customer solutions on the Databricks Data + AI platform. Own architecture and lead design decisions across data engineering, ML/AI integration, and application development, delivering production-grade systems and reference architectures. Embed with customer teams to guide big data and AI initiatives from scoping through deployment, contribute reusable accelerators, and work closely with Databricks engineering, project managers, and support to resolve engagement-specific issues.

Loading

Loading job details...

Preparing the role view and application actions.

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: 6 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Build and productionize customer solutions on the Databricks Data + AI platform. Own architecture and lead design decisions across data engineering, ML/AI integration, and application development, delivering production-grade systems and reference architectures. Embed with customer teams to guide big data and AI initiatives from scoping through deployment, contribute reusable accelerators, and work closely with Databricks engineering, project managers, and support to resolve engagement-specific issues.
Location: 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 systems, including reference architectures and custom applications.
  • •Guide strategic customers through transformational big data and AI initiatives from end-to-end design through 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 both customer needs and Databricks best practices.
  • •Collaborate with Databricks engineering, project management, and customer support to deliver engagement components and provide product/implementation feedback.
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, 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 knowledge of Spark runtime internals.
  • •Experience with CI/CD, MLOps, and production end-to-end data architectures combining data pipelines, ML/AI models, and user-facing interfaces.
Experience:Data engineeringData platformsAnalyticsDistributed computingBig dataML/AI
Skills:Customer empathyDocumentationWhite-boardingStakeholder managementAdaptability
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