Senior Forward Deployed Engineering - Architect

Databricks
London
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Communication","Problem-solving","Collaboration","Customer-facing","Adaptability"]

Data Platform Solutions Architect within our Professional Services team will work with clients on short-to-medium term engagements to design and deploy big data and analytics solutions on the Databricks platform. You will lead end-to-end architecture design, build reference architectures, mentor customers through adoption of data engineering, data science, and cloud technologies, and collaborate with cross-functional teams to ensure successful delivery.

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FursaFursa
Databricks
Databricks
6 months ago

Senior Forward Deployed Engineering - Architect

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

Job Summary

Data Platform Solutions Architect within our Professional Services team will work with clients on short-to-medium term engagements to design and deploy big data and analytics solutions on the Databricks platform. You will lead end-to-end architecture design, build reference architectures, mentor customers through adoption of data engineering, data science, and cloud technologies, and collaborate with cross-functional teams to ensure successful delivery.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Design and build reference architectures and productionalize customer use cases for big data and analytics projects.
  • •Work with engagement managers to scope professional services work with input from the customer.
  • •Guide strategic customers through end-to-end design, build and deployment of big data and AI applications.
  • •Consult on architecture and design; bootstrap or implement customer projects ensuring successful adoption of Databricks.
  • •Provide an escalated level of support for customer operational issues.
Travel: Low travel

Key Requirements

  • •Extensive experience in data engineering, data platforms & analytics
  • •Comfortable writing code in Python or Scala
  • •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 analyticsBig dataCloudDatabricks
Skills:CommunicationProblem-solvingCollaborationCustomer-facingAdaptability
Languages:English
Tech Stack:PythonScalaAWSAzureGCPApache SparkSparkCI/CDMLOps

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