Lead Data Engineer - Solutioning

Posted Yesterday
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Orlando, FL, USA
In-Office
148K-199K Annually
Senior level
Digital Media • Gaming • News + Entertainment • Sports
The Role
Lead Data Engineer partners with product, architecture, and engineering to design, build, and operate scalable data solutions. Responsibilities include translating product requirements into data designs, building ETL/ELT pipelines, optimizing data storage and flow, implementing data cleansing and automation, ensuring data quality and compatibility, guiding architectural patterns, estimating project scope, and mentoring teams while staying current with emerging data technologies.
Summary Generated by Built In

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

Skills Required

  • Minimum 7 years of related work experience
  • Advanced development skills in SQL, Python, Java, and Scala
  • SQL and scripting expertise for data extraction, transformation, and building performant datasets with automation focus
  • Extensive experience with relational and NoSQL databases (Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis)
  • Proficient in cloud technologies including AWS (Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP)
  • Comfortable working in an agile environment and collaborating with cross-functional teams
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field, or equivalent work experience
  • Familiar with [add required technologies here] and desire to develop further technical expertise in data engineering tools and methodologies
  • Proven ability to lead technical solutioning sessions with cross-functional stakeholders
  • Collaborative, solutions-oriented mindset with track record in ambiguous or complex delivery environments
  • Strong understanding of data modeling concepts (dimensional modeling, data vault, medallion/lake house architectures)
  • Ability to translate product and stakeholder requirements into executable data engineering solutions
  • Experience in formal solutions engineering, technical product management, or data product owner roles
  • Familiarity with data governance, data quality frameworks, and metadata management platforms (Alation, Unity Catalog, Apache Atlas)
  • Experience with data contract design and producer/consumer interface standards
  • Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field, or equivalent work experience
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The Company
HQ: Burbank, CA
219,548 Employees
Year Founded: 1923

What We Do

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.

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