Senior Data Platform Engineer — End-to-End Pipelines

Salesforce; United States; Remote; USD 173,000 - 260,000; Full time

Job summary

Salesforce, via the Qualified Data Team, seeks a data-centric engineer to shape core data pipelines and models powering enterprise-scale insights and AI-enabled features. You will own data flows, data quality, and analytics infrastructure, collaborating with product and engineering leadership to elevate data as a foundational platform capability.

In a greenfield environment, you’ll design scalable pipelines, ensure correctness and freshness, and enable seamless data movement between Qualified

Qualifications

• Proven experience building and operating production data systems at scale.
• Strong depth in PostgreSQL at scale, OLAP systems (ClickHouse or similar), CDC and event streaming, ETL orchestration, or data modeling for CRM-shaped domains.
• Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream.

Responsibilities

• Design and ship data systems end-to-end: models, pipelines, sync, and serving layers that the whole platform builds on
• Drive technical design for high-volume, multi-component systems (ETL, event streaming, analytics stores, APIs) with an emphasis on correctness, freshness, and operational excellence
• Own Salesforce data flows at enterprise scale
• Build the analytics and insights infrastructure that powers customer-facing reporting and internal decision-making
• Define data quality standards: SLOs, data contracts, observability, and the tooling to enforce them
• Own delivery from scope/design through launch, monitoring, and iterative improvement—anticipating risks, sequencing work, and aligning stakeholders
• Partner closely with product teams and engineering leadership to make data a first-class platform capability
• Raise team effectiveness through mentoring, technical guidance, code review, and improving standards, tooling, and processes

Skills

Data pipelines

Data models

ETL orchestration

PostgreSQL

OLAP systems

Event streaming

CRM data modeling

Technical leadership

Tools

Rails

PostgreSQL

AWS

Job description

Salesforce, via the Qualified Data Team, seeks a data-centric engineer to shape core data pipelines and models powering enterprise-scale insights and AI-enabled features. You will own data flows, data quality, and analytics infrastructure, collaborating with product and engineering leadership to elevate data as a foundational platform capability.

In a greenfield environment, you’ll design scalable pipelines, ensure correctness and freshness, and enable seamless data movement between Qualified