Senior Data & AI Deployment Engineer - Healthcare

Fdetimes; Dallas (TX); Remote; USD 182,000 - 250,000; Full time

Job summary

Databricks is seeking a Sr. Forward Deployed Engineer to collaborate with customers across the Central or Eastern Time Zones, owning architecture and delivering end-to-end data/AI solutions on the Databricks platform.

You will lead design decisions, implement production-grade systems, and work cross-functionally to drive measurable outcomes with strong customer empathy. The role combines data engineering, AI, and application development while embedding with customer teams, ensuring secure,

Qualifications

• 6+ years experience in data engineering, analytics, or software engineering.
• Proficient in Python, Scala, or JavaScript/TypeScript.
• Experience with two or more cloud ecosystems (AWS/Azure/GCP).
• Deep experience with Apache Spark and runtime internals.
• CI/CD for production deployments.
• Familiarity with MLOps, ML/AI models and AI APIs.
• Enterprise client delivery experience and strong communication.
• Databricks Certification preferred.

Responsibilities

• Lead production-grade solution delivery with reference architectures.
• Guide end-to-end big data projects including design, build and deployment.
• Bootstrap or implement customer projects for adoption of Databricks.
• Own architecture ensuring security, scalability, and best practices.
• Collaborate with engineering, PM, architects and customer teams.
• Provide product feedback and guide rapid issue resolution.
• Embed with customer teams to understand challenges and drive impact.
• Develop accelerators and best practices to scale across accounts.

Skills

Python/Scala/JS

Databricks

Spark

Cloud platforms

CI/CD

MLOps

Client collaboration

Tools

Databricks

Terraform

Git

Airflow

Job description

Databricks is seeking a Sr. Forward Deployed Engineer to collaborate with customers across the Central or Eastern Time Zones, owning architecture and delivering end-to-end data/AI solutions on the Databricks platform.

You will lead design decisions, implement production-grade systems, and work cross-functionally to drive measurable outcomes with strong customer empathy. The role combines data engineering, AI, and application development while embedding with customer teams, ensuring secure,