Lead Data Engineer

7+ years overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion

Experience translating project scope and high-level requirements into technical data engineering tasks

Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes

Experience with a variety of 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 of experience leading and deploying code using a source control product such as GitLab/GitHub

2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4

Experience collaborating with multiple project teams in a fast-paced environment

Experience with 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 to support requirements

Multiple years of experience with ELT/ETL data pipeline development and maintenance

Multiple years of shown experience and expertise using SQL and Python

Experience using containerization technologies such as Docker or Kubernetes

Proven ability to work collaboratively in a multi-team environment

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

Education

• Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience

Job Posting Statement The hiring range for this position in Orlando, FL $150,500 to $201,800 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.

You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders., This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate).

To learn more about Disney’s guidelines on the use of AI for candidates, click here. (https://join.disneycareers.com/global/en/ai-usage)

Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.