Remote Data Platform Engineer - AI-Driven, Enterprise-Scale

Salesforce, Inc.; San Francisco (CA); Remote; USD 173,000 - 260,000; Full time

Job summary

Salesforce, Inc. is seeking an engineer for the Data Team to design and ship data systems powering enterprise AI products. Youll shape core pipelines, data models, and analytics layers that fuel reporting and decision-making for major enterprises.

Youll join a newer team with greenfield potential, owning delivery end-to-end from scope to production while emphasizing reliability, accuracy, and rapid iteration.

Qualifications

• Design and operate production data systems at scale (pipelines, models, data flows).
• Contribute to data contracts, observability, and data quality.
• Collaborate with product and engineering leadership to make data a core platform capability.

Responsibilities

• Design and ship data systems end-to-end: models, pipelines, sync, serving layers.
• Drive design for high-volume, multi-component systems (ETL, event streaming, analytics stores, APIs).
• Own Salesforce data flows at enterprise scale.
• Build analytics and insights infra powering customer-facing reporting and internal decision-making.
• Define data quality standards: SLOs, data contracts, observability.

Skills

Data pipelines

Data modeling

PostgreSQL

ETL orchestration

Event streaming

Analytics stores

SaaS data

Education

Bachelor's degree in a technical field

Tools

Rails

PostgreSQL

AWS

Job description

Salesforce, Inc. is seeking an engineer for the Data Team to design and ship data systems powering enterprise AI products. Youll shape core pipelines, data models, and analytics layers that fuel reporting and decision-making for major enterprises.

Youll join a newer team with greenfield potential, owning delivery end-to-end from scope to production while emphasizing reliability, accuracy, and rapid iteration.