Senior Forward Deployed Engineer - Senior Architect

Databricks
London
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Customer empathy","Problem-solving","Documentation"]

Hands-on, customer-facing engineer building and productionizing data, AI, and application solutions on the Databricks platform. You will own architecture, drive design decisions, and deliver end-to-end systems spanning data engineering, AI/ML, and user interfaces while working with enterprise clients and cross-functional teams to ensure secure, scalable, production-ready deployments.

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FursaFursa
Databricks
Databricks
7 months ago

Senior Forward Deployed Engineer - Senior Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Hands-on, customer-facing engineer building and productionizing data, AI, and application solutions on the Databricks platform. You will own architecture, drive design decisions, and deliver end-to-end systems spanning data engineering, AI/ML, and user interfaces while working with enterprise clients and cross-functional teams to ensure secure, scalable, production-ready deployments.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead production-grade data and AI solution delivery, designing reference architectures and integrating ML/AI models
  • •Guide strategic customers through end-to-end design, build, and deployment of large-scale data projects
  • •Advise on architecture and design, ensuring secure, scalable solutions aligned with customer needs and best practices
  • •Collaborate with engineering, project managers, architects, and customer teams to deliver engagements
  • •Develop reusable accelerators and best practices to scale impact across accounts and influence product roadmap
Travel: Low travel

Key Requirements

  • •Experience in data engineering, data platforms & analytics, or software engineering / full stack development
  • •Proficient 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 with Apache Spark and knowledge of Spark runtime internals
  • •Familiarity with CI/CD for production deployments
Experience:Data engineeringData platformsAnalyticsSoftware engineeringFull stack development
Skills:CommunicationCollaborationCustomer empathyProblem-solvingDocumentation
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache SparkCI/CDMLflowAWSAzureGCP

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