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 teamDesign scalable real-time and batch data pipelinesDefine roadmaps for streaming, orchestration, transformation, and observabilityPartner with Product, Data Science, Analytics, and EngineeringImprove architecture, testing,



reliability, performance, and cost efficiencyRequirements: Experience leading engineering teams and complex data initiativesStrong foundation in distributed systems and cloud data platformsKnowledge of Kafka, Spark, Flink, Databricks, Airflow, dbt, or AWSExperience with data quality, observability, testing, and production supportBachelor's degree or equivalent practical experienceGuide technical execution and team growth while building reliable data platforms that power e Bay's global marketplace.#J-18808-Ljbffr

📌 Data Engineering Manager Real-Time Platforms (Toronto)
🏢 eBay
📍 Toronto