JobHabor

Sr. Forward Deployed Engineer

Databricks

Location
US
Workplace
Hybrid
Employment
Full Time
Salary
USD 182,000–250,208/yr
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Posted 1mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Build and productionize solutions using the Databricks platform
  • Own the architecture and lead design decisions
  • Implement end-to-end systems spanning data engineering, AI, and application development
  • Deliver with customer empathy, integrating with client systems, training, and other technical needs
  • Lead impactful customer technical projects by delivering production-grade systems
  • Design and build reference architectures, custom applications and data ingestion and ML/AI model integration
  • Guide strategic customers as they implement transformational big data projects
  • Guide customers on architecture and design
  • Bootstrap or implement customer projects
  • Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure technical components are delivered
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback
  • Embed with customer teams, engaging with stakeholders from technical ICs to executives
  • Contribute accelerators, frameworks, and best practices that scale impact across accounts
  • Influence the Databricks product roadmap

Requirements

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in 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 that combine data pipelines, ML/AI models, and user-facing interfaces
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes
  • Translating complex concepts into actionable solutions
  • Documentation and white-boarding skills
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies
  • Travel to customers 20% of the time
  • Databricks Certification

Preferred

  • Ability to obtain a U.S. government license for export-controlled technology or source code

Skills

  • Databricks
  • Python
  • Scala
  • JavaScript
  • TypeScript
  • AWS
  • Azure
  • GCP
  • Apache Spark
  • CI/CD
  • MLOps
  • AI APIs

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