Lead research and development on advanced analytic data solutions, including GenAI-powered pipelines, in an in-office environment.

Plan and lead R&D for advanced analytic data solutions leveraging GenAI
Partner with business and technology leaders to gather scope, requirements, business needs, and data across the company
Design and deliver data pipelines needed for critical decision science work
Collaborate with Decision Science Products, Decision Science, and client teams on priority projects
Plan, estimate, design, develop, test, support production rollout, and sustain solutions
Consult and collaborate with project team members during delivery
Lead design reviews
Contribute hands-on development work
Communicate technical concepts and progress with colleagues and leaders

7+ years 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 for sophisticated data engineering problems supporting advanced analytics
Experience working with a variety of GenAI models, tools, and concepts
Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
3+ years building and using relational databases (preferably Snowflake or PostgreSQL)
3+ years leading and deploying code using source control tools such as GitLab/GitHub
2+ years using job scheduling software such as Apache Airflow, Amazon MWAA, GitLab Runners, or UC4
Experience collaborating across multiple project teams in a fast-paced environment
Experience defining and estimating level-of-effort for data engineering work
Experience with project and sprint planning
Ability to communicate technical concepts and solutions to non-technical team members
Experience designing and building data structures aligned to requirements
Multiple years in ELT/ETL pipeline development and maintenance
Multiple years of demonstrated expertise using SQL and Python
Experience with containerization technologies such as Docker or Kubernetes
Proven ability to work collaboratively in a multi-team environment

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 technologies, preferably AWS EMR, EC2, and S3
Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace, and Snowpipe

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

Location: Lake Buena Vista, FL (onsite)
Salary: USD 135,200 - 181,200 per year
Additional information: Base pay offered will consider internal equity and may vary by geographic region, job-related knowledge, skills, and experience
Incentives: A bonus and/or long-term incentive units may be provided, plus full range of medical, financial, and/or other benefits depending on level and position

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

Lead Data Engineer

Job Description