Lead data engineering teams at e Bay, shaping Kafka and Spark platforms that support real-time insights, analytics, experimentation, and personalized marketplace experiences.
As a Data Engineering Manager, you will grow engineers and guide scalable batch and streaming solutions. You will set technical direction across Kafka, Flink, Spark, Databricks, Airflow, dbt, and AWS. The team enables trusted data consumption for product, analytics, and machine learning use cases.
Key Responsibilities: Lead, coach, and develop an inclusive data engineering team
Design scalable real-time and batch data pipelines
Define roadmaps for streaming, orchestration, transformation, and observability
Partner with Product, Data Science, Analytics, and Engineering
Improve architecture,



testing, reliability, performance, and cost efficiency
Requirements: Experience leading engineering teams and complex data initiatives
Solid foundation in distributed systems and cloud data platforms
Knowledge of Kafka, Spark, Flink, Databricks, Airflow, dbt, or AWS
Experience with data quality, observability, testing, and production support
Bachelor's degree or equivalent practical experience
Guide technical execution and team growth while building reliable data platforms that power e Bay's global marketplace.

📌 Data engineering manager real-time platforms (Toronto)
🏢 eBay
📍 Toronto