Principal Data Engineer

Role Overview

• You will be responsible for planning and leading research, development, and delivery related to advanced analytic data solutions, leveraging GenAI.
• You will design, build, and operate intelligent agent systems that power largescale, data intensive applications.
• This role focuses on architecting agentic workflows, integrating large language models (LLMs) with enterprise data platforms, and delivering production grade systems that reason, plan, and act across complex data environments.
• This includes working with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company.
• 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.

Requirements

• 10+ years experience in technology roles, preferably in data engineering, software engineering, and/or architecture
• Demonstrated experience working with a broad range of GenAI models, tools, and foundational concepts
• Experience architecting multi-agent systems with orchestrator-driven delegation and agent-to-agent handoffs
• Experience designing and building automated evaluation/scoring to reduce hallucinations and improve reliability at scale
• Experience designing Retrieval-Augmented Generation (RAG) pipelines, including chunking strategies, vector databases and embedded model selection
• Experience leveraging Knowledge Graphs and structured ontologies as semantic memory layers
• Experience partnering with stakeholders to help define project scope based on technical capabilities and translate requirements into technical engineering tasks
• Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
• Experience leading and deploying code using a source control product such as GitLab/GitHub and CI/CD pipelines.
• Experience building and integrating RESTful APIs, function-calling interfaces, and Model Context Protocol (MCP) servers to equip agents with access to enterprise data, services, and real-time context
• Experience with defining and estimating level-of-effort for engineering activities
• Ability to communicate technical concepts and solutions to non-technical team members
• Demonstrated expertise using SQL and Python
• Proven ability to work collaboratively in a multi-team environment.

Tech Stack

• Python
• SQL

Benefits

• 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.