Summary
Posted: Dec 14, 2020
Role Number:200211994
Would you like to play a critical part in the next revolution of human-computer interaction? Contribute to the advancement of a pr...Summary
Summary
Posted: Dec 14, 2020
Role Number:200211994
Would you like to play a critical part in the next revolution of human-computer interaction? Contribute to the advancement of a product that is globally redefining how humans use voice to interact with technology?
The Siri Data organization seeks to improve Siri by using data as the voice of our customers. The Data Engineering team plays a critical role in ensuring that high quality, trust worthy foundational data is produced and delivered to a variety of consumers like data engineers, data analysts, data scientists and machine learning engineers.
We're looking for an exceptional engineering leader who is passionate about our product and values; who loves working with data at scale; and who is committed to driving continuous improvement. Your team will build the foundational data layer by using stream processing framework at scale.
Joining a team that is at its inception, you will have the opportunity to build your own hand-picked high-performance team. You will make key contributions to hiring new engineers, building and driving the creation of a foundational data layer, and expand the scope and influence of this team to the entire Siri organization.
Key Qualifications
In a typical week, you will be focusing on ...
- Identifying engineers, hiring & coaching, and leading them to create innovative multi-functional solutions.
- Partnering with and influencing the roadmap of data infrastructure teams that support the extreme scale of our operations.
- Leading your team to build frameworks and stream based data processing applications at scale to produce foundational data sets, that will be used across various components of Siri.
- Coaching your team towards engaging with data consumers across Siri Data Organization and beyond to answer questions, to give support, and provide critical data.
- Communicating effectively and managing expectations with your partners clearly setting everyone up for success.
Education & Experience
Surprise us! Many will have an MS or BS in CS, Engineering, or a related field or equivalent practical experience in data engineering.
Additional Requirements
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