Forward Deployed Engineer

Databricks
Amsterdam
Workplace: OnsiteFull timeFunction: DevOps, Cloud & InfrastructureSkills: ["Python","Scala","Apache Spark","CI/CD","MLOps","AWS","Azure","GCP","Databricks"]

Senior Data & AI Platform Architect in Professional Services leads data engineering, data science and cloud projects for clients using the Databricks platform. You will design reference architectures, guide end-to-end big data transformations, and work with engagement managers to scope and deliver production-ready solutions, leveraging Spark, Python/Scala, and multiple cloud platforms. This role is client-facing, billable, and involves travel ~10%.

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FursaFursa
Databricks
Databricks
4 months ago

Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Senior Data & AI Platform Architect in Professional Services leads data engineering, data science and cloud projects for clients using the Databricks platform. You will design reference architectures, guide end-to-end big data transformations, and work with engagement managers to scope and deliver production-ready solutions, leveraging Spark, Python/Scala, and multiple cloud platforms. This role is client-facing, billable, and involves travel ~10%.
Location: Amsterdam
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design and build reference architectures for client projects on the Databricks platform.
  • •Guide strategic customers as they implement big data projects, including end-to-end design, build and deployment of AI applications.
  • •Consult on architecture and design; bootstrap or implement customer projects that lead to successful adoption of Databricks.
  • •Provide escalated support for customer operational issues and ensure delivery meets customer needs.
  • •Collaborate with project managers, architects, and customer teams to deliver technical components and provide feedback to engineering and support.
Travel: Low travel

Key Requirements

  • •Extensive experience in data engineering, data platforms & analytics.
  • •Comfortable writing code in either 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 and knowledge of MLOps.
Skills:PythonScalaApache SparkCI/CDMLOpsAWSAzureGCPDatabricks
Languages:English
Tech Stack:PythonScalaApache SparkCI/CDMLOpsAWSAzureGCPDatabricks

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