Sr Manager, Data Engineering

Disney

Full-time - Senior

Motion Picture and Sound Recording Industries

About the position

The Senior Manager for The Walt Disney Studios' Business Platforms and Services Data Team is a leadership role focused on data engineering. This position is designed for a data-driven individual who will lead a talented team in crafting sophisticated data frameworks that enhance decision-making and operational efficiencies. The role involves overseeing the development and maintenance of robust data architectures, implementing scalable data models, and optimizing data transformation pipelines, all while fostering a culture of innovation and collaboration within the team.

Responsibilities

• Lead and scale the data engineering team, ensuring efficient execution of projects and adherence to best practices.
• Develop and maintain a robust data architecture capable of supporting the needs of a rapidly growing organization.
• Oversee the design and implementation of scalable data models and warehouses using Snowflake.
• Leverage Airflow to streamline workflows and improve the integration of data processes.
• Help set standards for onboarding, requirements, documentation, coding, branching, code reviews, deployments, support operations, platforms, analysis, automation, communication, maintenance, decommissioning, and other necessary processes.
• Implement and optimize data transformation pipelines using dbt to ensure accurate and timely availability of data for analytics and business operations.
• Collaborate with other leaders across the business to identify opportunities for data-driven decision-making and process improvements.
• Support the business in uncovering, transforming, accessing, understanding, and exploiting data.
• Exhibit soft social skills that are thoughtful and empathetic, necessary for managing a large team and numerous customers.
• Maintain up-to-date knowledge of data engineering tools and trends, continuously improving the team's use of technology.
• Manage project planning and resource allocation for maximum efficiency and impact.
• Create value through the increased adoption of data; understand the data science and business intelligence landscape to guide the adoption of the right tools and processes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 10 years of experience in data engineering
• Advanced experience and knowledge of AWS, Snowflake, Airflow, and dbt.
• Strong understanding of data modeling, ETL processes, and data warehousing principles.
• Advanced experience with algorithms and data structures.
• Proven experience in building and deploying enterprise-scale solutions.
• Excellent leadership and communication skills, with a track record of leading high-performing teams.
• Experience with Agile methodologies and continuous integration/continuous deployment (CI/CD) processes.