The Walt Disney Company logo

Lead Data Engineer - Solutioning

The Walt Disney Company

  • Orlando, Florida
  • 3 days ago

    Highlights

    Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies. The DXT team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

    Numbers & Facts

    LocationOrlando, Florida
    IndustryEntertainment Venues and Theaters
    Company Size10,000 employees or more
    Websitehttps://jobs.disneycareers.com

    Description

    Job Posting Title:

    Lead Data Engineer - Solutioning

    Req ID:

    10155496

    Job Description:

    “We Power the Magic!” That’s our motto at Disney Experiences Technology (DXT). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.

    The DXT team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!

    This role sits in the Data Products & Platform organization within Disney Experiences Technology (DXT). It works closely with Product Management, Data Architecture, and Data Engineering delivery teams from across the organization.

    The Lead Data Engineer - Solutioning will report to the Manager of Data Engineering Solutions.

    What You'll Do:

    • Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility, clarify scope, and identify data dependencies
    • Translate business requirements and product requests into well-defined data solution briefs, including data sourcing strategy, transformation logic, and consumption patterns
    • Partner with Data Architects to translate solution requirements into architectural patterns and data model designs that align with enterprise standards
    • Engage in estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests
    • Lead the design, construction, and management of technology architecture, solutions, and software aimed at gathering, managing, and using both structured and unstructured data from various sources
    • Develop robust processes and structures to optimize data flow, routing, and storage, meticulously considering business and technical requirements, and deploying cloud and local storage solutions as necessary
    • Use advanced technical tools and programming expertise to implement data cleansing, organization, transformation, and maintenance tasks, integrating automation and innovative methodologies like big data, artificial intelligence, and machine learning
    • Define design standards and quality assurance procedures for software and systems development, ensuring seamless data compatibility, operability, and integrity across all data connections, transmissions, and storage systems
    • Analyze internal and external business and product needs regarding data operations, suggesting adjustments and improvements to systems and storage to keep up with ongoing demands
    • Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations
    • You will be expected to stay up to date with emerging technologies so you can make informed recommendations
    • May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed

    Required Qualifications:

    • Minimum 7 years of related work experience
    • Advanced development skills in cross-platform coding languages such as SQL, Python, Java, and Scala.
    • SQL and scripting expertise for data extraction, transformation, and building performant datasets, with a focus on automation
    • Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis)
    • Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing, and analysis
    • Comfortable working in an agile environment, collaborating with cross-functional teams, and adapting to changing requirements
    • A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors
    • An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging
    • Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies

    Preferred Qualifications:

    • Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects, and Engineering leads
    • A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments
    • Strong understanding of data modeling concepts including dimensional modeling, data vault, and medallion/lake house architectures
    • Demonstrated ability to bridge business and technical domains — translating product and stakeholder requirements into executable data engineering solutions
    • Experience in a formal solutions engineering, technical product management, or data product owner capacity
    • Familiarity with data governance, data quality frameworks, and metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas)
    • Experience with data contract design and producer/consumer interface standards

    Required Education:

    • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

    Preferred Education:

    • Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

    #DISNEYTECH

    #LI-AF2

    The hiring range for this position in FL is $148,300.00-$198,800.00 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.

    Job Posting Segment:

    DX Technology

    Job Posting Primary Business:

    Emerging Tech & Data

    Primary Job Posting Category:

    Data Engineering

    Employment Type:

    Full time

    Primary City, State, Region, Postal Code:

    Orlando, FL, USA

    Alternate City, State, Region, Postal Code:

    Date Posted:

    2026-07-28

    About Company

    The Walt Disney Company is the global leader in high-quality entertainment and innovative technology. Begin a career that delivers unparalleled creative content and experiences to audiences around the world.

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