Description
The Lead Data Engineer will design, implement, and maintain scalable and secure distributed data architectures and pipelines for data ingestion, processing, storage, and quality. The role covers batch and streaming ETL/ELT, Kafka, cloud data services, warehousing or lakehouse platforms, data security and compliance, observability, and stakeholder collaboration. Required skills include Java or Python, SQL, Spark/Flink or Dataflow, Kafka, Snowflake or Databricks, cloud providers, and data reliability practices; financial-services experience and mentoring experience are preferred.
