Senior Manager, Data Engineering

At Disney Experiences Technology, 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. The Disney Experiences Technology team is responsible for the 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 the MyDisneyExperience app and Hey, Disney!

We are looking for a Sr Manager, Data Engineering to drive the development and successful delivery of modern data products. You will own the successful roll-out of new features and capabilities that provide useful insights and drive growth for our business. You will lead all aspects of data initiatives including a studio of engineers who craft, build, and improve the framework and processes handling consumer data, ensuring freshness, completeness, security, and privacy. You will sit in Data Products & Platform within the Technology & Digital organization for Disney Experiences. You will work closely with internal segment partners and technical authorities from across Disney.

Responsibilities:

• Work with partners from around Disney to understand business needs and translate those into high value capabilities and features

• Develop the strategy and roadmap for data products supporting Guest experiences

• Lead the team delivering against plans, including both highly technical and non-technical resources

• Build a strong culture of best practices and standards in data and engineering

• Act as the deep technical authority on delivery practices, able to speak to capabilities and processes to multiple levels of the organization

• Advance data collection strategies and onboarding processes enabling improved data capabilities while adhering to data privacy requirements

• Stay in the known on the product direction for applicable technologies to understand how shifts in the consumer privacy landscape alter the Guest data strategy

Required Qualifications & Skills:

• 10+ years related work experience in a Data Engineering field

• Advanced knowledge of Data Architecture, Data Warehousing, Advanced Analytics, and Data Science implementations

• Experience across Data Warehouse platforms such as Snowflake and BigQuery, with expert level knowledge in the Snowflake Platform

• Expertise with Data Lakehouse architectures and formats/standards, such as Parquet and Iceberg

• Experience designing automated, highly available ETL/ELT big data pipelines at scale

• Experience with data transformation and orchestration tools as well as DBT and AirFlow

• Knowledge of data quality practices and tooling such as Data Dog and Anomalo

• Familiarity with data security and privacy regulations

• Excellent verbal and written communication, compelling storytelling and presentation skills.

• A team player with vision, passion, discipline, and integrity

• Demonstrated inclusive and collaborative leadership that embraces diverse thought. Ability to develop geographically and otherwise diverse highly technical teams.

• Proven ability to successfully operate in a highly matrix organization where partnership and influence are key drivers of success

• Ability to work rapidly and efficiently in a fast paced and changing environment

      

Required Education:

• Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Preferred Education:

• Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

The hiring range for this position in Anaheim is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.