Description
The Data Scientist Lead will build and operate scalable batch and streaming data pipelines, trusted data products, metrics, and feature-ready datasets across the product development lifecycle. The role covers data quality, governance, SQL and dbt transformations, Python/PySpark development, Airflow orchestration, observability, engineering standards, and mentoring a team of two. It requires a bachelor’s degree or equivalent practical experience, at least five years of hands-on production data experience, and expertise with Databricks, Spark, SQL, dbt, and Airflow.
