Manager, Software Engineering - Media and Playback Data Processing

Full-time - Manager

Seattle, WA

Motion Picture and Sound Recording Industries

About the position

Disney Entertainment & ESPN Technology is reimagining ways to create magical viewing experiences while transforming Disney's media business for the future. The Data Platforms Team is looking for a Manager, Software Engineering to join the Media and Session Data team. This role focuses on media consumption data, which is critical for improving products in the DEET Portfolio. The team is responsible for quantifying content performance, measuring advertising effectiveness, and enhancing user playback experiences. The tech stack includes AWS, Databricks, Airflow, and Spark, with programming languages such as Scala and Java.

Responsibilities

• Provide day-to-day leadership and management of the engineering teams that contribute to the design and growth of Playback Data Products and Services.
• Participate and review the designs and implementations of scalable data warehousing solutions, building ETL pipelines in Big Data environments.
• Work on systems to query, process, and deliver data out of the analytics environment into internal tools and systems.
• Collaborate on architectural designs and help plan for maintainability, observability, and future development concerns.
• Maintain detailed documentation of work and changes to support data quality and data governance.
• Ensure high operational efficiency and quality of solutions to meet SLAs and support commitment to customers.
• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for the team.

Requirements

• 8+ years of software or data engineering experience.
• At least 2-3 years of experience as an engineering manager.
• Extensive knowledge and experience of the architecture and development of data pipelines and orchestration frameworks using platforms like Spark, Hadoop, Databricks, Airflow.
• Experience with developing for a cloud environment (AWS preferred), including cloud databases (Snowflake, Redshift, Databricks Delta Lake).
• Knowledge of both SQL and NoSQL databases.
• Strong programming skills in Java, Scala or Python.
• Demonstrated competency in data modeling and analysis techniques.
• Familiar with Scrum and Agile methodologies.
• Strong attention to detail and excellent analytical skills.
• Verbal and written communication skills and ability to collaborate with others effectively.

Nice-to-haves

• Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
• Experience with scalable online analytical processing databases (Druid, ClickHouse).
• Experience doing hands-on data analysis of large fine-grained datasets.
• Experience working with a test first mentality.
• Deep Understanding of AWS or other cloud providers as well as infrastructure as code.
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.

Benefits

• Medical, financial, and/or other benefits.
• Bonus and/or long-term incentive units may be provided as part of the compensation package.