If you're passionate about crafting engineering strategies that support large-scale and high-performance data and software environments, join us! We are looking for a Principal Software Engineer who will use their deep expertise in software development, data management, and distributed systems to lead software engineering practices to deliver high-quality, scalable, and robust data ecosystems that support the entire segment, powering the interactions and experiences that create magic for our Guests. You will be a senior level individual contributor who works to define and guide the implementation of the engineering strategy and practices.

This role sits in the Data Products & Platform organization within Technology & Digital for Disney Parks, Experiences, and Products. It works closely with internal segment Engineers and technical authorities from across the company.

Responsibilities:

• Lead the design and development practices for data systems that enables the collection, ingest, storage, and processing of large and sophisticated data products
• Collaborate with engineers, data scientists, and other partners to make proposals across teams on their engineering work and practices
• Design low-level implementation details of software, which data structures, class/function/code organization, etc.
• Propose technical implementation approaches which support architectural changes that address scaling and performance problems
• Proactively seek opportunities to reuse or generalize existing services and implementations
• Know the latest new technologies and best approaches in the field of data management and software engineering
• Provide technical mentorship and guidance to other members of the team
• Conduct code review pull-requests with consistent scrutiny

Qualifications:

• 10+ years of software development experience across diverse domains, with at least five years of experience in data management and distributed systems solving problems
• Expert level coder, able to develop solutions that solves complex problems, while keeping in mind code space and time complexity
• Expert level in Python development and DevOps practices, e.g.,: CI/CD, docker, testing, and automation
• Experience designing and implementing solutions using AWS services, with an understanding of at least some core services: IAM, S3, Kinesis, Lambda, SNS
• Experience with build-and-test tool, Bazel
• Experience with infrastructure-as-code, e.g.,: Terraform, CloudFormation, CDK, etc.
• Proficiency in at least one of the following languages - Typescript, Java, or another strongly typed language
• Understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.)
• Proven grasp and believer of agile development approaches, including DevOps concepts

Required Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

Preferred Education

• Master’s degree in Computer Science, Engineering, Information Technology, or related field