Sr. Forward Deployed Engineer - FDE (Fullstack)

Databricks
Berlin, Munich
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Customer empathy","Adaptability","Curiosity","Documentation","Stakeholder management"]

Build and productionize customer solutions for their data and AI challenges using the Databricks platform. Own architecture and lead design decisions while delivering production-grade reference architectures, custom applications, and data ingestion plus ML/AI integration. Partner with engineering, product, developer relations, and customer teams to scope, deliver, and scale impact—providing technical guidance, feedback, and training as you embed with stakeholders from ICs to executives.

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FursaFursa
Databricks
Databricks
1 month ago

Sr. Forward Deployed Engineer - FDE (Fullstack)

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and productionize customer solutions for their data and AI challenges using the Databricks platform. Own architecture and lead design decisions while delivering production-grade reference architectures, custom applications, and data ingestion plus ML/AI integration. Partner with engineering, product, developer relations, and customer teams to scope, deliver, and scale impact—providing technical guidance, feedback, and training as you embed with stakeholders from ICs to executives.
Location: Berlin, Munich
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery for customer technical projects, including reference architectures, custom applications, and data ingestion with ML/AI model integration.
  • •Guide transformational big data and AI initiatives end-to-end, working with engagement managers to scope technical delivery.
  • •Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams and engage stakeholders from technical ICs to executives to deeply understand challenges and deliver measurable outcomes.
  • •Partner with Databricks engineering, support, project management, and architects to deliver technical components, provide product/implementation feedback, and help resolve engagement-specific issues.
Travel: Medium travel

Key Requirements

  • •6+ years of experience in data engineering, data platforms and analytics, or software engineering.
  • •Comfortable 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 working knowledge of MLOps, ML/AI models, and AI APIs.
Experience:6+ yearsData engineeringData platformsAnalyticsSoftware engineering
Skills:Customer empathyAdaptabilityCuriosityDocumentationStakeholder management
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkAWSAzureGCPCI/CDMLOpsMLflowDelta LakeLakehouseAI 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