Senior Director of Data Engineering for AI-Driven Platform

salesforce.com, inc.; New York (NY); On-site; USD 218,000 - 365,000; Full time

Job summary

Salesforce is seeking a Senior Director of Data Engineering in New York to lead a ~40-person organization, owning the full data engineering stack from infrastructure to data products and AI-facing services. You will partner with Data Science & Analytics to drive a bold, agentic data platform vision for Slack’s data assets.

This is a strategic leadership role focused on data governance, real-time data products, and scalable architecture to empower both humans and AI agents across the enterprise.

Qualifications

• 10+ years of experience in data engineering, data platform, or infrastructure engineering roles, including 5+ years in engineering leadership at the Director level or above.
• Proven track record building and scaling data platforms (ingestion pipelines, warehousing, semantic/metrics layers) at consumer or enterprise SaaS scale.
• Experience leading through organizational change - team consolidations, re-orgs, or multi-team integrations.

Responsibilities

• Own and unify the Data Engineering roadmap across infrastructure, ingestion, data governance, tooling, semantic layer sub-teams.
• Serve as the DRI for data engineering, representing data engineering in leadership planning and resolving cross-team priority conflicts.
• Partner directly with the Data Science & Analytics organization - establishing and running an effective operating model.
• Set data freshness SLAs, warehouse reliability, and cost optimization standards across ingestion and infrastructure teams and ensure the data platform meets those standards and goals.
• Build and scale engineering capacity - hire, develop and retain top EM and senior IC talents.

Skills

Data engineering leadership

Data platforms scaling

Cross-functional communication

Strategy & vision

Education

Related technical degree

Job description

Salesforce is seeking a Senior Director of Data Engineering in New York to lead a ~40-person organization, owning the full data engineering stack from infrastructure to data products and AI-facing services. You will partner with Data Science & Analytics to drive a bold, agentic data platform vision for Slack’s data assets.

This is a strategic leadership role focused on data governance, real-time data products, and scalable architecture to empower both humans and AI agents across the enterprise.