The Walt Disney Company

Manager, Data Product Engineering

The Walt Disney Company

full-time

Posted on:

Location Type: Hybrid

Location: OrlandoCaliforniaFloridaUnited States

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Salary

💰 $175,800 - $235,700 per year

Job Level

Tech Stack

About the role

  • Lead & Develop High-Performing Teams: Recruit, onboard, mentor, and manage a team of Data Product Engineers, including Lead Engineers
  • Strategic Data Product Leadership & Business Alignment: Lead the development and communication of our data product strategy and roadmap, actively collaborating with business leaders and stakeholders across all relevant departments
  • Architectural Guidance & Technical Governance: Provide architectural oversight and technical guidance to your team, ensuring data product designs are scalable, resilient, secure, and maintainable
  • Drive Operational Excellence: Establish and enforce robust processes for data product lifecycle management, including incident response, performance monitoring, cost optimization, and adherence to data governance policies
  • Vendor & Resource Management: Manage budget allocation for your team, evaluate and manage relationships with external vendors and technology partners, ensuring optimal utilization of resources and technologies
  • Innovate & Champion AI/ML Data Readiness: Guide the team in designing and building data products that specifically empower our AI/ML efforts

Requirements

  • 8+ years of hands-on experience in data engineering, data warehousing, or a related field
  • Proven experience in leading and managing data engineering teams, including experience managing Lead Engineers
  • Strong skills in hiring, performance management, conflict resolution, and fostering a collaborative team environment
  • A deep understanding of data as a product, with the ability to define product vision, build roadmaps, and drive execution
  • Expert-level understanding and practical experience with Snowflake for data warehousing and performance optimization
  • Extensive experience with dbt (Data Build Tool) for advanced data modeling, transformation, and governance
  • Demonstrated expertise in designing and implementing real-time data pipelines using AWS Lambda and AWS Kinesis
  • Strong command of Python for data engineering and automation; familiarity with other languages like Java is a plus
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field
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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata warehousingdata product managementperformance optimizationdata modelingdata transformationreal-time data pipelinesPythonJavaAI/ML
Soft Skills
team leadershiphiringperformance managementconflict resolutioncollaboration