Lead scoping and execution of critical improvements to our data platform
Support production ML Ops functionality
Partner strategically with data science, analytics, and data engineering leads
Provide expertise on overall data engineering best practices
Support solution development; translate product / analytical vision into highly functional data pipelines
Requirements
4+ years of hands-on experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
Excellence in quality data pipeline design, development, and optimization
Experience building, designing, and/or developing on diverse data architecture designs (ex. Data Lake, Lakehouse)
Experience working with Databricks and deployed production grade pipelines