Sr Manager, Data Engineering

The Walt Disney Company • Vista, FL

1d • Onsite

About The Position

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. The Data Engineering team leads the acquisition and processing of all data needed for projects across DDSI. The Senior Manager, Data Engineering role is responsible for managing a team that does research, development, and delivery related to advanced analytic data solutions, leveraging GenAI. The team is involved in various product development activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing databases and knowledge graphs, integration with enterprise data platforms, and ad-hoc analytics. The Senior Manager role is also responsible for helping to drive the DDSI Data Engineering organization forward with generative AI adoption and advanced tools, as well as updated processes. The team should leverage generative AI development tools to work efficiently, and design, build, and operate intelligent agentic systems that power largescale, data intensive applications. This role will partner with business and technology leaders to understand the business scope and data from across the Disney company in order to create a strategic roadmap for development. Other responsibilities include estimating, managing work assignments across the team, ensuring consistency of design patterns/principles across the portfolio of projects, and working to remove technical, business and organizational roadblocks for the team. The Senior Manager is also responsible for hiring decisions, establishing career goals for cast, providing performance evaluations, ensuring the team is staffed properly and has the right skills necessary for the job. The ideal candidate has a diverse background not only in Data Engineering, but also multiple technology areas which might include Generative AI, Architecture, Data Warehousing, Application Development, Networking and/or Infrastructure.

Requirements

• 10+ years experience in technology roles, preferably in data engineering, software engineering, and/or architecture
• 3+ years prior experience in a technology management capacity
• Ability to identify, evaluate, and implement new technology platforms, tools and solutions to meet upcoming business needs
• Experience leveraging generative AI tools for efficient development and deployment of data solutions
• Understanding of Generative AI tools and concepts such as LLMs, RAG, Knowledge Graphs and Agents
• Proven experience defining and leading strategic initiatives
• Ability to bridge the business and technical world, and demonstrate business and domain knowledge
• Experience establishing and leading large teams
• Ability to drive comprehensive solutions from scoping through implementation, meet deadlines, and balance multiple priorities
• Demonstrated ability to communicate at all levels and influence up to executives
• Experience with both structured and unstructured data
• Strong understanding of relational database design and proficiency utilizing tools such as PostgreSQL, Snowflake, Aurora or similar
• Deep understanding in the differences and uses between application databases, data warehouses, and data lakes
• Broad experience across technologies and tools related to data, applications, infrastructure, and architecture
• Experience with modern cloud-based tools, both licensed and open-source, preferably AWS
• Experience leveraging containerization technologies such as Docker or Kubernetes
• Passion for driving standards, processes, and consistency

Nice To Haves

• Hands-on experience using GenAI models and related tools
• Experience building agents and creating agentic orchestration
• Prior experience with Theme Park, Hospitality, or Entertainment industries
• Prior experience in a DBA capacity and with performance tuning
• Knowledgeable with Architecture Principles and Design
• Experience leveraging Snowflake in an OLTP and OLAP capacity
• Multiple years of experience with Python and SQL
• Familiarity with data streaming and batch data processing
• Knowledgeable knowing how to leverage job scheduling software like Apache Airflow
• Involved in driving standard practices around data engineering software development processes

Responsibilities

• Managing a team that does research, development, and delivery related to advanced analytic data solutions, leveraging GenAI.
• Leading product development activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing databases and knowledge graphs, integration with enterprise data platforms, and ad-hoc analytics.
• Driving the DDSI Data Engineering organization forward with generative AI adoption and advanced tools, and updated processes.
• Leveraging generative AI development tools to work efficiently, and design, build, and operate intelligent agentic systems that power largescale, data intensive applications.
• Partnering with business and technology leaders to understand the business scope and data from across the Disney company in order to create a strategic roadmap for development.
• Estimating, managing work assignments across the team, ensuring consistency of design patterns/principles across the portfolio of projects, and working to remove technical, business and organizational roadblocks for the team.
• Making hiring decisions, establishing career goals for cast, providing performance evaluations, ensuring the team is staffed properly and has the right skills necessary for the job.
• Designing and developing reusable tools to benefit projects across the department.
• Managing large data platforms, supporting one or multiple applications.
• Leading efforts in designing, building and maintaining ETL/ELT data pipelines.
• Managing and deploying code using a source control product such as GitLab/GitHub.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees