Senior Forward-Deployed Data & AI Engineer

Socket.dev; California (MO); On-site; USD 182,000 - 250,208; Full time

Job summary

Databricks is hiring a Forward Deployed Engineer to partner with customers, owning architecture and delivering end-to-end data, ML/AI and application solutions on the Databricks platform. You will guide design decisions, embed with client teams, and ensure secure, scalable implementations that meet business goals.

Role requires 6+ years in data engineering or related fields, strong Python/Scala/JS skills, cloud experience, and Databricks/Spark expertise.

Qualifications

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.

Responsibilities

• Lead impactful customer technical projects by delivering production‑grade systems, designing and building reference architectures, custom applications and 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 of industry‑leading big data and AI applications.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with customer needs and Databricks best practices.
• Work with the Databricks technical team to ensure the technical components of the engagement are delivered to meet customer needs.
• Embed with customer teams and engage with stakeholders from technical ICs to executives to deliver impact.

Skills

Data engineering

Distributed computing

Python

Scala

JavaScript/TypeScript

Cloud platforms

MLOps

CI/CD

Customer-facing

Databricks

Apache Spark

Tools

Databricks

Apache Spark

Job description

Databricks is hiring a Forward Deployed Engineer to partner with customers, owning architecture and delivering end-to-end data, ML/AI and application solutions on the Databricks platform. You will guide design decisions, embed with client teams, and ensure secure, scalable implementations that meet business goals.

Role requires 6+ years in data engineering or related fields, strong Python/Scala/JS skills, cloud experience, and Databricks/Spark expertise.