About the Role:

The New York Times is looking for an Engineering Manager to join the Data Platform mission to lead a new engineering team focused on creating data products designed to meet NYT's most important real-time needs, including behavioral and targeting use cases. You will build a team of engineers focused on deploying and managing real-time pipelines and APIs in an event-driven architecture to process event streams and serve aggregated data for customer-facing use cases. You will report to the Director of Data Platform.

This is a hybrid role based in our New York City headquarters.

Responsibilities: Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Hire and develop engineering talent within the team. Oversee the execution of roadmap items and increase productivity and delivery Collaborate with product managers and partners to define product requirements and roadmaps. Guide technical decisions and architectural design for the team's projects. Monitor and report on initiative progress and risks. Experience coaching engineers, helping them make an impact while growing in their careers. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years experience as an Engineering Manager leading a data engineering team building production data pipelines and data products. 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Understanding of modern data platforms, including data lake technologies and medallion architectures.

REQ-018501