Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms
Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)
Partner with product and analytics to prioritize and deliver high-impact data use cases
Own production support, incident response, and continuous improvement of data systems
Establish and scale DataOps practices across development and operations
Collaborate across AWMT D&A to enable data products that support personalization and analytics
Hire, develop, and grow engineering talent and future tech leads
Improve reliability and observability of production data pipelines
Drive adoption of consistent pipeline frameworks and engineering standards

Experience leading data engineering teams delivering production data platforms
Strong understanding of modern data architectures and cloud-based data ecosystems
Track record of improving engineering quality, reliability, and delivery at scale
Experience partnering with product, analytics, and ML teams
Demonstrated ability to develop engineers and build high-performing teams
Cloud-native data platforms (AWS: S3, Glue, Athena, etc.)
Batch and event-driven data pipelines
Data modeling and large-scale data processing
Minimum of eight years data analytics, programming, database administration, or data management experience
Undergraduate degree or equivalent combination of training and experience
Graduate degree preferred

Manager, Data Engineering

Key skills