Lead Software Engineer at The Walt Disney Company

Santa Monica, California, United States

Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Entertainment, Media, SportsIndustries

Expertise in Scala and Python for architecting, designing, and coding shared libraries
Experience building scalable solutions for privacy and data subject rights automation
Ability to work cross-functionally with analytics, data architecture, legal, and security teams
Proficiency with AWS, Databricks, and related technologies
Knowledge of software engineering and architecture best practices
Skills in building observability, alerting, logging, and system control planes
Experience maintaining software deployments with strict uptime SLAs
Capability to develop and document internal and external standards and best practices

Be a key player in a cross-functional team of engineers building software for a large-scale data processing ecosystem, supporting real-time and batch data pipelines for analytics, data science, and operations
Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization
Architect and build world-class modularized tooling to understand complex environments and develop plans for simplification, migration, and maintenance
Maintain software engineering and architecture best practices and standards within the team and wider organization, fostering a culture of quality, innovation, and experimentation
Evangelize and evolve the platform, best practices, and data-driven decisions; identify new use cases and features and drive adoption
Build a robust observability, alerting, logging, and system control plane for easy diagnosis of issues across data pipelines
Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs
Contribute to developing and documenting internal and external standards and best practices for software deployments, configurations, naming conventions, partitioning strategies, and more
Maintain detailed documentation of work and changes to support data quality