Principal Data Architect

$180,700 - $253,800/Yr

Disney - Orlando, FL

Full-time - Principal

Orlando, FL

1,001-5,000 employees

Motion Picture and Sound Recording Industries

About the position

The Principal Data Architect at Disney Experiences is a key role responsible for driving advanced data architectures specifically for generative AI applications. This position involves collaborating with cross-functional teams to deliver high-quality AI solutions and ensuring the ethical and responsible use of generative AI technologies. The role requires a deep understanding of data engineering principles and the ability to communicate complex AI concepts to diverse audiences.

Responsibilities

• Assess both internal and external business and product requirements providing sophisticated guidance and innovative solutions for generative AI applications and storage.
• Design, develop and lead the strategic implementation of advanced, scalable, high-performing generative AI architectures, including data pipelines, model training frameworks, and deployment strategies.
• Leverage profound technical expertise, specifically integrating sophisticated automation and advanced automation methodologies like big data, AI and machine learning to ensure the quality, consistency, and security of data used to train and run generative AI models.
• Stay at the forefront of generative AI research and development, identifying new techniques and tools to improve model performance and efficiency.
• Establish and uphold exacting design and governance frameworks for the ethical and responsible use of generative AI technologies.
• Engage in estimation planning, providing technical recommendations and solutions during planning activities and contribute to proposal development.
• Communicate complex AI concepts clearly and concisely to both technical and non-technical audiences.
• Monitor, evaluate, and optimize generative AI solutions to ensure they meet business objectives.
• Document and share knowledge to foster a culture of continuous learning and improvement within the team.
• Operationalize best practices around different vector search technologies such as neo4j, Vertex Search, Elastic Search, Weaviate.
• Evaluate NLP outcomes with data science metrics and implement outcome monitoring and feedback loop into the data pipeline.

Requirements

• 10+ years related work experience.
• Proven experience in designing and building scalable data architectures for machine learning / AI applications.
• In-depth knowledge of generative AI models (e.g., GANs, VAEs) and their applications.
• Experience with RAG, vector stores, semantic search, chunking strategies, embedding models, and large data handling for LLMs.
• Strong understanding of data engineering principles and best practices (e.g., data cleansing, transformation, feature engineering).
• Experience working with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to translate business needs into technical solutions.
• Passion for innovation and a commitment to ethical AI development.
• Experience building LLMs pipeline using frameworks like LangChain, LlamaIndex, Semantic Kernel, OpenAI functions.
• Familiar with different LLM parameters like temperature, top-k, and repeat penalty, and different LLM outcome evaluation data science metrics and methodologies.

Nice-to-haves

• Master's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

Benefits

• Medical benefits
• Financial benefits
• Bonus and/or long-term incentive units may be provided as part of the compensation package.