Lead Software Engineer

Walt Disney-posted 3 months ago
$152,200 - $204,100/Yr
Full-time • Senior
New York, NY
5,001-10,000 employees
Motion Picture and Sound Recording Industries
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Disney Entertainment & ESPN Technology is focused on reimagining ways to create magical viewing experiences while transforming Disney's media business for the future. The Data Foundations Platform and Governance Engineering team is seeking a Lead Software Engineer to focus on privacy solutions and data subject rights automation, collaborating with various partners to build scalable solutions. This role involves understanding data usage challenges at Disney's streaming services and utilizing the latest technologies available in AWS, Databricks, and more.

  • Be a key player in a cross-functional team of engineers who build 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.
  • Work to architect and build world class modularized tooling to understand our very complex environments to come up with plans for simplification, migration, and maintenance.
  • Maintain software engineering and architecture best practices and standards within the team and wider organization, along with a culture of quality, innovation, and experimentation.
  • Evangelize and evolve the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption.
  • Build out a robust observability, alerting, logging, and system control plane that allows easy diagnosis of any issues across all our data pipelines.
  • Contribute to maintaining, updating, and expanding existing software deployments while maintaining strict uptime SLAs.
  • Contribute to developing and documenting both internal and external standards and best practices for software deployments, configurations, naming conventions, partitioning strategies, and more.
  • Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
  • Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team.
  • Collaborate with product managers, architects, and other engineers to drive the success of the Foundational Platform.
  • 7+ years of data engineering experience in software engineering in the data space.
  • Strong software algorithmic problem-solving expertise.
  • Strong fundamental Scala and Python software programming skills.
  • Good understanding of AWS or other cloud provider resources (S3).
  • Strong SQL skills and ability to creatively problem solve and dive deep into our data and software ecosystem.
  • Hands-on production environment experience with distributed processing systems such as Apache Spark.
  • Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines.
  • Scripting language experience (Bash, PowerShell).
  • Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go.
  • Willingness and ability to learn and pick up new skillsets.
  • Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
  • Master's Degree in Computer Science, Information Systems preferred.
  • Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query).
  • Experience in developing APIs with GraphQL.
  • Experience in developing microservices.
  • Deep Understanding of AWS or other cloud providers as well as infrastructure as code.
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
  • Familiar with Scrum and Agile methodologies.
  • Familiarity with privacy regulations and/or data subject rights.
  • Medical, financial, and/or other benefits depending on the level and position offered.
  • Bonus and/or long-term incentive units may be provided as part of the compensation package.
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