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Manager Data Engineering
Manager Data EngineeringThe Walt Disney Studios • Glendale, California, United States
Manager Data Engineering

Manager Data Engineering

The Walt Disney Studios • Glendale, California, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Job Summary :

This is not a remote role. You must be in the local area or open to relocation.

Manager, Data Engineering

The Walt Disney Company is a world leader in storytelling and innovation, spanning entertainment, technology, and experiences that inspire and delight audiences globally. At The Walt Disney Studios, we’re building next-generation data capabilities to power smarter decisions and scalable operations across film, television, and digital media. We’re seeking a Manager of Data Engineering to lead a team of skilled engineers focused on building scalable, modern data solutions. This role is ideal for a hands-on leader with deep expertise in data platforms, a strong architectural mindset, and a passion for delivering high-impact business value through data.

Key Responsibilities

  • Lead and mentor a data engineering team, ensuring high-quality delivery and technical excellence.
  • Translate business needs into scalable data solutions, aligned with the Studio’s data strategy.
  • Oversee the design and implementation of robust data architectures, pipelines, and models using tools such as Snowflake, Airflow, and dbt.
  • Establish and enforce best practices across data modeling, automation, deployment, support operations, and lifecycle management.
  • Partner with stakeholders to identify analytics opportunities, ensuring alignment with business goals and measurable outcomes.
  • Promote a data-driven culture by improving data access, usability, and governance across the organization.
  • Manage project planning, resource allocation, and team development to maximize impact and efficiency.
  • Stay current with industry trends and tools, continuously evolving the team’s capabilities.

Required Qualifications

  • Must have 8+ years of experience in Data Engineering, Analytics, or a related technical domain, including 3+ years of experience with team leadership.
  • Must have expertise in AWS, Snowflake, Airflow, dbt, and advanced SQL.
  • Must have strong experience in data modeling, ETL / ELT design, and modern data warehousing principles.
  • Proven track record of architecting and delivering enterprise-scale data solutions.
  • Familiarity with CI / CD processes and Agile methodologies.
  • Broad technical knowledge spanning data platforms, application development, infrastructure, and architecture.
  • Experience with multi-environment development (Dev / QA / Prod), code promotion workflows, and containerization (., Docker, Kubernetes).
  • Demonstrated success leading high-performing engineering teams, fostering a culture of ownership, trust, and continuous improvement.
  • Ability to translate vision into execution, influence across technical and non-technical teams, and drive alignment with business priorities.
  • Strong communication and stakeholder management skills, with experience navigating complex, cross-functional environments.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

    Optional Qualifications

  • Exposure to AI / ML tooling and deployment, including Snowflake Cortex or similar platforms.
  • Experience supporting ML Ops workflows or collaborating with data science teams to productionize models.
  • Familiarity with prompt engineering, model evaluation, or LLM integration is a plus.
  • #DISNEYTECH

    The hiring range for this position in Glendale, CA is $171,600 to $200,000 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.

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