On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come.
Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
Business Operations is the glue of DE&E Technology, with a relentless focus on connecting all the pieces of the business. All the components that make up the organization - engineering, product, design, operations, support and more - come together and move the business forward with oversight, effective prioritization, and guidance. This team synthesizes information from across the business to ensure leaders are armed with all the necessary data before making strategic and financial decisions. From forecasting, funding, tracking, and reporting on projects, to ways of working, and resource management, Business Operations has visibility and input into all aspects of the team.
As a Lead Data Engineer at Disney, you will provide leadership and expertise in data engineering, fostering collaboration and best practices within the team. You will oversee and mentor subordinate engineers to ensure successful completion of work on all data projects. With 7+ years of experience, you'll play a key role in maximizing the value of our data by designing and delivering secure solutions, using various programming languages and cloud services.
Responsibilities:
- Directly supervise engineering resources on or supporting the Data Team and provide formal technical leadership.
- Design, write, test, and deploy code for data solutions.
- Operate effectively in a dynamic business environment, finding innovative solutions.
- Contribute to the entire data solution lifecycle: ideation, design, development, testing, and sustainment.
- Conduct research and prototyping to test ideas that solve business needs.
- Participate in the technical evaluation of business requirements.
- Lead data solution design to meet business and user requirements.
- Mentor and coach junior team members to enhance their skills and productivity.
- Review code for correctness and its impact on software and data architecture.
- Leverage Continuous Integration/Continuous Deployment (CI/CD) practices for efficient code deployment and quality checks.
- Perform database administration tasks, including managing credentials, roles, permissions, and monitoring usage.
- Sustain, enhance, and optimize data solutions.
- Participate in sustainment, on-call rotations, identifying and fixing defects, performing upgrades, and seeking iterative improvements.
Minimum Qualifications:
- 7+ years of Data Engineering experience.
- Technical supervision and leadership experience.
- Proficiency in dimensional modeling, star schema design, normalization, role-based security, and account provisioning.
- Proven track record delivering complex data solutions on AWS.
- Extensive experience in database design, development, testing, upgrading, and migration.
- Proficiency in GraphQL , Neo4j, and languages such as Python, and Nodejs.
- Collaborative code repository experience in a CI/CD deployment environment.
- Bachelor's degree or higher in Computer Science, Information Science, or a relevant field OR equivalent work experience.
Preferred Qualifications:
- Relevant certifications in Python, Data Warehousing, DBA, AWS, or CICD.
- Database Administrator (DBA) experience.
- Experience with other cloud providers such as Azure or Google Cloud.
- Agile/Scrum team experience.
- Experience or strong desire to work in the generative AI space.
- Experience with model serving in Data Bricks.
The hiring range for this position in Santa Monica, Glendale, and Seattle is $149,300 - $200,200 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.
