Senior Director, Data Engineering — AI-Driven Platform Lead

Salesforce; San Francisco (CA); On-site; USD 263,000 - 401,000; Full time

Job summary

Salesforce is seeking a Senior Director of Data Engineering to lead a ~40-person organization, owning the full data stack from ingestion to AI-facing services. You will partner with Data Science & Analytics to drive a bold vision, transforming Slack's data platform into a premier agentic analytics foundation.

You will lead data infrastructure, semantic layers, and real-time data products, focusing on scalability, reliability, and governance in a fast-paced, enterprise SaaS environment.

Qualifications

• 10+ years in data engineering, data platform, or infrastructure roles.
• 5+ years in engineering leadership at director level or above.
• Proven track record building and scaling data platforms at SaaS scale.
• Experience partnering with Data Science / Analytics leadership.

Responsibilities

• Own and unify the Data Engineering roadmap across infrastructure, ingestion, data governance, tooling, and semantic layers.
• DRI for data engineering; lead cross-team priority alignment.
• Partner with Data Science & Analytics to run an effective operating model.
• Set data freshness SLAs and cost optimization across ingestion and infrastructure.
• Build and scale engineering capacity; hire and develop top talent.
• Champion a strong data engineering identity and culture.
• Collaborate with product, infrastructure, and DevXP leadership on cross-cutting initiatives.

Skills

Data engineering leadership

Data platforms scaling

Cross-functional leadership

Executive stakeholder comms

Education

Related technical degree

Job description

Salesforce is seeking a Senior Director of Data Engineering to lead a ~40-person organization, owning the full data stack from ingestion to AI-facing services. You will partner with Data Science & Analytics to drive a bold vision, transforming Slack's data platform into a premier agentic analytics foundation.

You will lead data infrastructure, semantic layers, and real-time data products, focusing on scalability, reliability, and governance in a fast-paced, enterprise SaaS environment.