Senior Data Platform Engineer — Remote

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

Job summary

Salesforce, Inc. is building the data layer that powers its AI-enabled platform. As a Data Engineer on the Data Team, you’ll shape core pipelines, data models, ETL, and data APIs, ensuring fresh, accurate data for analytics and enterprise decisions.

You’ll own data quality standards, design patterns, and end-to-end delivery from scope to production, partnering with product and engineering leadership to make data a first-class platform capability on a high-velocity team.

Qualifications

• Proven experience building and operating production data systems at scale: pipelines, data models, or high‑volume backend services
• Strong depth in several of: PostgreSQL at scale, OLAP systems, 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
• Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases
• Comfortable operating in ambiguity and driving clarity: a newer team means the roadmap and conventions are still being written
• Pragmatic about reliability: data contracts, backfills, idempotency, and handling failures
• Experience with modern stacks (Rails/Postgres/AWS is a plus; adaptability matters most)

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

Job description

Salesforce, Inc. is building the data layer that powers its AI-enabled platform. As a Data Engineer on the Data Team, you’ll shape core pipelines, data models, ETL, and data APIs, ensuring fresh, accurate data for analytics and enterprise decisions.

You’ll own data quality standards, design patterns, and end-to-end delivery from scope to production, partnering with product and engineering leadership to make data a first-class platform capability on a high-velocity team.