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Senior Forward Deployed Engineer, Sr FDE (L5)

Databricks Mosaic · Remote - India · Karnataka, India

Infrastructureremotesenior
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At a glance

Highlights

  • Build and productionize customer data and AI solutions on Databricks.
  • Lead architecture for end-to-end systems spanning data, AI, and apps.
  • Embed with strategic customers to deliver transformational big data projects.

Ideal candidate

Builder with 9+ years in data or software engineering who thrives at the intersection of technology and business impact. Customer-empathetic, adaptable and curious, you love embedding with clients to solve complex problems and deliver measurable outcomes.

Requirements

  • 9+ years of experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common 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
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications combining data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery managing scope, timelines and measurable outcomes
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Curiosity, adaptability, and eagerness to explore new technologies supporting Databricks-based solutions
  • Travel to customers 20% of the time
  • Databricks Certification

Lab profile

About Databricks Mosaic

Builds unified data analytics and AI platform to productionize AI applications.

What they build

  • Databricks platform
  • Unified Data Analytics and AI
  • AI platform

Known for

  • Forward-deployed AI engineering
  • Productionizing first-of-kind AI applications
  • Customer platform adoption and scale
  • Cross-functional engineering and product collaboration
More about Databricks Mosaic →
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