As a Lead Data Engineer, you will design and implement solutions to ingest, store, transform, and distribute big data on Azure Cloud. The role uses Databricks (Spark, SQL, and PySpark), Databricks Workflows, Python, JSON, and SQL to build products, tools, and features that power customer personalization at scale. Communication and collaboration with Product and Data Science are critical to success. The role takes ownership of features through all phases of the 84.51° software development lifecycle, covering external-facing and internal applications as well as process improvement. It includes developing business-domain understanding and translating it for technical stakeholders; setting technical strategy with Data Science, Product, Architecture, and Kroger partners; and overseeing engineering teams across development and operations, with onshore and offshore resources. The position follows a five-day in-office work schedule. The role is eligible for variable compensation in addition to base salary. Applicants for employment in the United States must have work authorization that does not now or in the future require visa sponsorship for employment with 84.51° or the Kroger Family of Companies.
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Job Type
Full-time
Career Level
Senior