Sr. Forward Deployed Engineer - Architect - Full Stack

Databricks
London
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Customer empathy","Cross-functional collaboration","Technical project delivery","Documentation","White-boarding"]

Work with enterprise customers to deliver production-grade data and AI solutions on the Databricks platform. Own architecture and lead end-to-end design decisions spanning data engineering, ML/AI model integration, and application development. Guide transformational big data initiatives from scoping through deployment, immerse with customer stakeholders, and contribute reusable accelerators that scale across accounts.

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FursaFursa
Databricks
Databricks
12 hours ago

Sr. Forward Deployed Engineer - Architect - Full Stack

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Work with enterprise customers to deliver production-grade data and AI solutions on the Databricks platform. Own architecture and lead end-to-end design decisions spanning data engineering, ML/AI model integration, and application development. Guide transformational big data initiatives from scoping through deployment, immerse with customer stakeholders, and contribute reusable accelerators that scale across accounts.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead production solution delivery by designing and building reference architectures, custom applications, and data ingestion with ML/AI integration.
  • •Guide strategic and transformational customer big data projects through end-to-end design, build, and deployment, partnering with engagement managers on scope.
  • •Empower customers by bootstrapping or implementing solutions, advising on architecture and design, and supporting evaluation and adoption.
  • •Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • •Embed with customer teams, deliver technical components with Databricks project and customer teams, and provide product/implementation feedback.
Travel: Medium travel

Key Requirements

  • •Extensive experience in data engineering, data platforms & analytics, or software engineering.
  • •Comfort writing code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
  • •Working knowledge of AWS, Azure, and/or GCP, with expertise in at least one cloud ecosystem.
  • •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:Data engineeringData platformsAnalyticsBig dataML/AI
Skills:Customer empathyCross-functional collaborationTechnical project deliveryDocumentationWhite-boarding
Certifications:Databricks Certification
Languages:English
Tech Stack:PythonScalaJavaScriptTypeScriptApache 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