Principal Engineer - AI, Enterprise Apps & Decision Platforms

Starbucks; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

Short-term and long-term disability

Parental leave

401(k) with employer match

Bean Stock equity program

Starbucks College Achievement Plan (tu

Backup care

DACA reimbursement

Job summary

Starbucks is seeking a visionary Principal Engineer to define and lead the next generation of enterprise data, application, and AI-enabled experiences across the enterprise. You will shape how employees access analytics, workflows, and intelligent systems.

The role focuses on architecture, standards, and practices that transform data into unified, secure, and scalable user experiences, with emphasis on AI-enabled platforms and governance.

Qualifications

• 10+ years of experience in software engineering, platform engineering, or enterprise architecture.
• Deep understanding of cloud-native architectures, APIs, application frameworks, and modern software delivery practices.
• Proven ability to influence technical direction across organizational boundaries.

Responsibilities

• Define the long-term enterprise AI and data platform strategy.
• Lead architecture reviews and establish governance standards.
• Mentor engineers and align across engineering, product, security, UX, and business.
• Drive integration of AI capabilities into operational and analytical experiences.
• Reduce fragmentation across applications and reporting technologies.

Skills

Enterprise architecture

Cloud-native architectures

APIs

Analytics/AI

Stakeholder management

Communication

Job description

Starbucks is seeking a visionary Principal Engineer to define and lead the next generation of enterprise data, application, and AI-enabled experiences across the enterprise. You will shape how employees access analytics, workflows, and intelligent systems.

The role focuses on architecture, standards, and practices that transform data into unified, secure, and scalable user experiences, with emphasis on AI-enabled platforms and governance.