Senior Forward Deployed Engineer — Data & AI Solutions

Databricks Inc.

Raleigh (NC)

On-site

USD 182,000 - 250,208

Full time

14 days+

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Benefits offered by this job

Databricks Certification

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer (FDE) to partner with customers in the Communications, Media, Entertainment & Games sector. You will own architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform.

You will travel roughly 20% to customer sites, drive production-grade delivery, and work with engineering, product, and client teams to ensure secure, scalable deployments that accelerate value from data and AI.

Qualifications

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering.
  • Experience with two or more cloud ecosystems (AWS, Azure, GCP) and 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.
  • Knowledge of MLOps, ML/AI models and AI APIs.
  • Ability to design scalable end-to-end data architectures and applications.
  • Experience delivering technical projects and managing timelines.

Responsibilities

  • Lead production-grade solution delivery including reference architectures and data ingestion.
  • Guide transformational big data projects from design to deployment with customers.
  • Bootstrap and implement customer projects ensuring adoption of Databricks.
  • Own architecture decisions ensuring secure, scalable solutions.
  • Collaborate with engineering, product, and customer teams to deliver engagements.

Skills

Data engineering
Cloud platforms
Spark
CI/CD
MLOps
System architecture
Customer facing

Tools

Databricks platform

Job description

Databricks is seeking a Sr. Forward Deployed Engineer (FDE) to partner with customers in the Communications, Media, Entertainment & Games sector. You will own architecture, lead design decisions, and implement end-to-end data, AI, and application solutions on the Databricks platform.

You will travel roughly 20% to customer sites, drive production-grade delivery, and work with engineering, product, and client teams to ensure secure, scalable deployments that accelerate value from data and AI.

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