Lead Data Engineer Job Lake Buena Vista area,Florida USA,IT/Tech

At The Walt Disney Company (Corporate), this role leads research and development for advanced analytic data solutions powered by GenAI. You will plan and deliver the data pipelines that support critical decision science work, partnering closely with business and technology stakeholders to design, test, deploy, and sustain production capabilities in an in-office setting.

Role Overview

You will work with Decision Science Products, Decision Science, and client teams to shape data engineering approaches from early scope through production rollout. The position blends planning, technical design, and hands-on development, including leading design reviews and coordinating with project team members across multiple critical initiatives.

Location and Compensation

Location: Lake Buena Vista, FL (onsite)
Salary: USD 135, per year
Hiring range note: Base pay offered will consider internal equity and may vary based on geographic region and job-related knowledge, skills, and experience.
Additional compensation: A bonus and/or long-term incentive units may be provided, and the full compensation package may include medical, financial, and/or other benefits.

Responsibilities

Plan and lead R&D for advanced analytic data solutions leveraging GenAI
Partner with business and technology leaders to understand scope, requirements, business needs, and available data across Disney to design and deliver data pipelines
Collaborate with Decision Science Products, Decision Science, and client teams on critical projects
Plan, estimate, design, develop, test, coordinate production rollout, and sustainment activities
Consult and collaborate with project team members
Lead design reviews
Perform hands-on development
Communicate technical concepts and updates with colleagues and leaders

Requirements

7+ years experience in a data engineering development capacity across multiple environments (Dev, QA, Prod, etc.) and Dev Ops procedures for code deployment/promotion
Experience translating project scope and high-level requirements into technical data engineering tasks
Experience defining solutions for sophisticated data engineering problems supporting advanced analytic processes
Experience with a variety GenAI models, tools, and concepts
Understanding of Knowledge Graphs
, Data Mesh
, and other data sharing platforms
3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL
)
3+ years leading and deploying code using a source control product such as Git Lab or Git Hub
2+ years using job scheduling software such as Apache Airflow
, Amazon MWAA
, Git Lab Runners
, or UC4
Experience collaborating with multiple project teams in a fast-paced environment
Experience defining and estimating level-of-effort data engineering activities
Experience with project and sprint planning
Ability to communicate technical concepts and solutions to non-technical team members
Experience designing and building data structures that support requirements
Multiple years of experience developing and maintaining ELT/ETL data pipelines
Multiple years of expertise using SQL and Python
Experience with containerization technologies such as Docker or Kubernetes
Proven ability to work collaboratively in a multi-team environment

Technologies

GenAI
Knowledge Graphs
Data Mesh
Snowflake
PostgreSQL
Git Lab
Git Hub
Apache Airflow
Amazon MWAA
Git Lab Runners
UC4
ELT/ETL
SQL
Python
Docker
Kubernetes
AWS EMR
EC2
S3
Snowpark
Data Exchange
Data Marketplace
Snowpipe

Education

Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable.

Preferred Qualifications

Experience leading development of GenAI based systems, including model selection, pipeline orchestration, and deployment strategies
Experience defining GenAI architectures
Knowledgeable with Disney Parks attendance, reservations, and/or products
Experience with cloud-based technologies, preferably AWS EMR, EC2, and S3
Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace, and Snowpipe

Note: This is not a remote role. The team works in office.