Lead Data Engineer
Role summary
The Lead Data Engineer is responsible for the end-to-end lifecycle of data pipelines and data products, ensuring they are scalable and reliable to support enterprise analytics, reporting, and AI/ML initiatives. This role requires a blend of hands-on engineering expertise and technical leadership, where the individual will guide other data engineers and collaborate with cross-functional teams including architects, analytics engineers, and platform specialists. The Lead Data Engineer will champion engineering best practices, uphold data reliability standards, and ensure the scalability of the data platform while driving key projects.
The Lead Data Engineer leads the design, development, and deployment of scalable, reliable data pipelines and data products that power enterprise analytics, reporting, and AI/ML use cases. This role combines hands-on engineering with technical leadership, guiding data engineers while partnering with architects, analytics engineers, and platform teams to deliver trusted data assets. The Lead Data Engineer drives engineering best practices, data reliability, and platform scalability while delivering critical initiatives on the enterprise data platform.
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