Senior Data Engineer

Position overview We are looking for a Senior Data Engineer with hands-on experience in Databricks, Snowflake, and either AWS or Azure to join our team. In this role, you will own the full lifecycle of our data warehouse, from ETL and ELT pipeline design and dimensional modeling to performance tuning and infrastructure optimization. You will work with modern data platforms to transform raw data into reliable, scalable, and actionable insights that support business decision making.

Develop, operate, optimize, test, and maintain the data warehouse, including ETL/ELT process development, cube development, database/performance administration, and dimensional table design Drive the full life-cycle of back-end development for the data warehouse Identify, design, and implement internal process improvements - redesigning infrastructure for scalability, optimizing data delivery, and automating manual processes Define data retention policies Build analytical tools that leverage the data pipeline to deliver actionable insight into key business metrics (operational efficiency, customer acquisition, etc.) Select and integrate tools for monitoring, managing, alerting on, and improving database performance Develop and implement automated processes to ensure uninterrupted database updates and correction of vulnerabilities Assemble large, complex datasets that meet functional and non-functional business requirements

5+ years of experience or 5+ completed projects