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Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks
Remote - US (not eligible in the SF Bay Area)Updated 5d ago
Total compensation
$182k–$250k
Published total compensation range
Location
Remote - US (not eligible in the SF Bay Area)
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
AI / ML
Role skills
Apply on databricks.com
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About the job

About the Role

As a Forward Deployed Engineer (FDE) at Databricks, you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact.

Responsibilities

  • Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, data ingestion, and ML/AI model integration.
  • Guide strategic customers as they implement transformational big data projects including end-to-end design, build, and deployment.
  • Empower customers by guiding architecture and design, and bootstrap or implement customer projects.
  • Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
  • Embed with customer teams, engaging with stakeholders from technical ICs to executives.
  • Contribute accelerators, frameworks, and best practices that scale impact across accounts.

Qualifications

  • 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 using 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.
  • 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.
  • Travel to customers 20% of the time.

Compensation

The pay range for this role is $182,000—$250,208 USD, depending on location and other factors. The total compensation package may also include eligibility for annual performance bonus and equity.

Benefits

Databricks offers comprehensive benefits and perks. Specific details for your region are available in the application.

Application

Apply via the Databricks careers page.

Skills & tags

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