?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 (Google Cloud Platform) 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 Google Cloud Platform), 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.
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