
Manager, Data Product Engineering
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Orlando • California • Florida • United States
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Salary
💰 $175,800 - $235,700 per year
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