Senior Forward Deployed Engineer: Data & AI Solutions

Bazeta; San Francisco (CA); Remote; USD 182,000 - 250,000; Full time

Job summary

Databricks, based in San Francisco, seeks a Senior Forward Deployed Engineer to own architecture and deliver end-to-end data and AI solutions for customers. You will lead production-grade designs spanning data engineering, ML models, and applications while ensuring security, scalability, and customer value.

You will work closely with customer teams and internal engineering groups, travel up to 20%, and contribute accelerators and best practices to scale impact across accounts.

Qualifications

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Experience with Python/Scala/JavaScript/TypeScript and modern frameworks.
• Cloud experience with at least one of AWS, Azure, GCP.
• Deep experience with distributed computing, Spark runtime internals.
• Knowledge of ML/AI models, MLOps, and APIs.
• Ability to deliver technical projects with measurable outcomes.
• Strong documentation and white-boarding skills.

Responsibilities

• Lead architecture and design decisions for production-grade data and AI solutions.
• Deliver end-to-end deployments across data pipelines, ML models, and user interfaces.
• Collaborate with customers, engineers, and product teams to drive outcomes.
• Provide feedback to product and support teams to improve engagements.
• Embed with customer teams to understand challenges and deliver impact.

Skills

Python

Scala

JavaScript/TypeScript

Cloud platforms

Distributed computing

MLOps

CI/CD

Data engineering

Tools

Apache Spark

Job description

Databricks, based in San Francisco, seeks a Senior Forward Deployed Engineer to own architecture and deliver end-to-end data and AI solutions for customers. You will lead production-grade designs spanning data engineering, ML models, and applications while ensuring security, scalability, and customer value.

You will work closely with customer teams and internal engineering groups, travel up to 20%, and contribute accelerators and best practices to scale impact across accounts.