Engineering Manager, Data Platform
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Job Description
Engineering Manager overseeing development of data infrastructure at QuillBot, managing engineering team and leading architectural decisions.
Responsibilities:
- Oversee and expand QuillBot’s data infrastructure to support product, AI, and growth.
- Lead architectural decision-making and develop high-performance systems.
- Manage a team of engineers to deliver a dependable and scalable data platform.
- Treat the platform as an internal product, ensuring it meets usability needs.
- Promote best practices in data engineering and system design.
- Collaborate with Product, AI, Growth, and Marketing teams on data requirements.
Requirements:
- A minimum of 7 years’ experience in software or data engineering, including at least 2 years in engineering management.
- Strong technical expertise and architectural judgment.
- Extensive experience in building and scaling data platforms or distributed systems.
- Hands-on knowledge of backend technologies such as Node.js and the JavaScript ecosystem.
- Practical experience with systems like Spark, streaming technologies, and data pipelines.
- Deep understanding of data pipelines, ETL/ELT processes, and analytics systems.
- Experience working with cloud platforms (AWS, GCP, Azure) and modern data stack tools.
- Proven ability to make architectural trade-offs and lead major technical initiatives.
- Excellent communication skills with a track record of effective cross-functional collaboration.
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