Senior Forward Deployed Engineer: Data & AI for Media & Games

Databricks Inc.; Seattle (WA); On-site; USD 182,000 - 250,208; Full time

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to work with Seattle customers to build and productionize data and AI solutions on 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 hands-on role requires strong engineering expertise, customer empathy, and the ability to deliver production-grade deployments with measurable outcomes, including scalable architectures

Qualifications

• 6+ years in data engineering, data platforms & analytics, or software engineering.
• Experience with two or more cloud ecosystems (AWS, Azure, GCP) and at least one.
• Deep knowledge of distributed computing with Spark and Spark internals.
• Familiarity with CI/CD for production deployments.
• Know-how of ML/AI models, ML pipelines, and AI APIs.
• Ability to design production-grade data architectures and apps blending pipelines, AI models, and user interfaces.

Responsibilities

• Lead production solution delivery by designing and building reference architectures, data ingestion, and ML/AI model integration.
• Guide strategic customers through end-to-end big data projects with design, build and deployment.
• Bootstrap or implement customer projects to ensure understanding, evaluation and adoption of Databricks.
• Own architecture decisions to ensure secure, scalable solutions aligned with customer needs and Databricks best practices.
• Collaborate with engineering, project managers, architects and customer teams to deliver engagements.

Skills

Data engineering

Data platforms

Analytics

Software engineering

Cloud know-how (AWS/Azure/GCP)

MLOps

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to work with Seattle customers to build and productionize data and AI solutions on 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 hands-on role requires strong engineering expertise, customer empathy, and the ability to deliver production-grade deployments with measurable outcomes, including scalable architectures