Senior Manager, Data Engineering

Sr. Data Engineering Manager

Storytelling is, and will always be, the heart of what we do at Skydance. Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled. Here, you'll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day. If you're energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we'd be thrilled to welcome you aboard. LET'S GO!

The Applied Intelligence Data Engineering team is seeking a Sr. Data Engineering Manager to lead the strategy, design, delivery, and operational excellence of large-scale batch and real-time data platforms. This role will oversee multiple data engineering teams that power analytics, APIs, AI workflows, and mission-critical data services across the organization. You will guide the design and implementation of distributed data systems. This includes ETL and ELT pipelines. You will also work with streaming platforms, warehouse ecosystems, and cloud-native infrastructure. As a manager, you will shape technical direction, develop engineering talent, and ensure production-grade reliability, scalability, and operational rigor across data platforms.

This role requires deep expertise in modern data architectures, distributed systems, and cloud-native engineering, plus proven experience leading multiple teams and managing managers or senior ICs.

Key Responsibilities

• Lead & Scale Data Engineering Teams
• Architect Scalable Data Platforms
• Cross-Functional Collaboration
• Technical Leadership

Required Skills & Experience

Modern Data Architecture

Distributed Systems & Scalability

Team Development & Coaching

Execution & Delivery Leadership

Qualifications

7 - 8+ years of experience in data engineering, software engineering, or platform engineering roles, with at least 5+ years of direct engineering management experience.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred.

Proven experience leading engineering teams delivering large-scale production data platforms.

Strong foundation in distributed systems engineering and cloud-native architecture.

Well-developed communication skills, ability to work with different teams, self-motivated, focused on quality, dedicated to engineering excellence, and maintain solid operational discipline.