Lead Data Engineer - Solutioning

Job Posting

Title:

Lead Data Engineer
- Solutioning Req :

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 My Disney Experience  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.

• 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

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 No

SQL 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 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…