Senior Director, Data Engineering — Lead AI-Driven Platform

Slack; San Francisco (CA); Vor Ort; USD 218.000 - 365.000; Vollzeit

Zusammenfassung

Salesforce is seeking a Senior Director of Data Engineering to lead a ~40-person organization and own the full data stack—from infrastructure and ingestion through data products and AI-facing services. You will partner with Data Science & Analytics to drive a bold vision for agentic analytics and AI-powered tooling.

The role requires a proven track record building scalable data platforms in a SaaS environment, leadership across multi-team initiatives, and strong executive communication skills.

Qualifikationen

• 10+ years in data engineering, data platform, or infrastructure engineering roles with at least 5+ years in director-level leadership.
• Proven track record building and scaling data platforms (ingestion, warehousing, semantic/metrics layers) at SaaS scale.
• Experience leading through organizational change—reorgs, consolidations, or multi-team integrations.
• Strong track record hiring, developing, and retaining engineering managers and senior ICs.
• Excellent cross-functional communication with executive stakeholders.
• A related technical degree is required.

Aufgaben

• Own and unify the Data Engineering roadmap across infrastructure, ingestion, data governance, tooling, and semantic layers.
• DRI for data engineering, representing data engineering in leadership planning and resolving cross-team priorities.
• Partner with Data Science & Analytics to establish and run an effective operating model.
• Set data freshness SLAs, warehouse reliability, and cost optimization standards across teams.
• Build and scale engineering capacity by hiring, developing and retaining top EMs and senior ICs.

Kenntnisse

Data engineering leadership

Data platforms

SaaS scale experience

Cross-functional leadership

ML/AI readiness

Ausbildung

Related technical degree

Jobbeschreibung

Salesforce is seeking a Senior Director of Data Engineering to lead a ~40-person organization and own the full data stack—from infrastructure and ingestion through data products and AI-facing services. You will partner with Data Science & Analytics to drive a bold vision for agentic analytics and AI-powered tooling.

The role requires a proven track record building scalable data platforms in a SaaS environment, leadership across multi-team initiatives, and strong executive communication skills.