Lead Data Engineer - Solutioning

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 (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.