Senior Manager, Data Engineering

About the Role & Team

“We Power the Magic!”That’sour motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani,A Disney Resort & Spa, and Disney Vacation Club. Weare responsible forthe end-to-end digital and physical Guest experience for all technology &digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business, as well as other initiatives, including

My Disney Experience and  Hey, Disney!

As the Senior Manager, Data Engineering, you will lead a team of engineers and product managers responsible for operating and advancing the platforms and products that power data and guest experiences across Disney Experiences. This role requires an exceptional leader who pairs deep technical expertise with strong people and communication skills to support partners across Disney Experiences’ diverse portfolio of theme parks, resorts, cruise ships, and other vacation experiences.

You will own the reliability, performance, security, and evolution of our virtual and serverless infrastructure and CI/CD processes and pipelines, as well as internal customer-facing applications, including the segment’s BI and visualization tools, the Snowflake data warehouse, and the current-state identity resolution platform. You will set technical direction, translate platform and business strategy into actionable plans, and build a high-performing team that consistently delivers secure, resilient, and cost-effective outcomes.

If selected for this Full-Time position, you will report to the Director Data Engineering.

• Orchestrate the design, development, and oversight of the technology architecture, solutions, and infrastructure that support the segment’s BI and visualization tools, Snowflake data warehouse, and current-state identity resolution platform
• Lead the operation and continuous improvement of the platform’s virtual and serverless AWS infrastructure and CI/CD pipelines, ensuring availability, performance, security, and resiliency across environments
• Establish robust processes and frameworks for data flow, API delivery, and storage across service-based and analytics-based offerings, aligning closely with business and technical requirements
• Set design standards and quality assurance protocols for software and systems development, ensuring data compatibility, operability, and integrity across all connections, transmissions, and storage platforms
• Translate high-level platform and business strategy into clear, actionable directives, and adjust priorities decisively as business needs change
• Proactively identify and address operational, performance, and security issues before they affect customers, and lead escalation and resolution when they do
• Evaluate and adopt emerging technologies, including AI, to advance platform capabilities and accelerate how the team delivers them
• Balance cost, security, efficiency, and resiliency across architecture and operational decisions
• Partner with key business and technology stakeholders to capture demand, establish business value, and represent strategies clearly and professionally in executive and high-pressure settings
• Provide leadership, coaching, and performance management for a multi-disciplinary team of experienced engineers and product managers
• Develop self and others, supporting career aspirations by recognizing different working styles and leveraging individual strengths
• Create an open, collaborative environment where ideas are debated on merit, every voice is heard, and the team is empowered to do its best work

• Minimum 10 years of related work experience, including demonstrated experience leading and developing technical teams
• Mastery of cross-platform coding languages (e.g., SQL, Python) for data solution development, advanced data manipulation, and analysis
• Extensive experience in data engineering, including modern database technologies (e.g., Snowflake) and formats, data architecture principles, and data modeling…