Senior Data Engineer

About this role

We are seeking a Senior Data Engineer to serve as a technical lead within our Google Cloud-native data ecosystem. In this role, you will be responsible for the end-to-end engineering of scalable, high-performance data pipelines that power our national retail data platform using a Medallion architecture (Bronze through Platinum). Our Engineering team serves as the organization's core technical provider. You will collaborate closely with separate Governance, Data Science, Data Modeling, and Data Insight teams to turn their requirements and models into robust, production-grade automated pipelines. Your focus is on the "how"—building the high-integrity plumbing that enables these specialized teams to perform their functions while managing complex interdependencies with other technical teams through enterprise orchestration.

• This position is fully remote
• This role is an Individual Contributor position

A day in the life as a Senior Data Engineer...

• Lead the technical construction of complex data pipelines. You will be responsible for the engineering implementation of SCD (Slowly Changing Dimension) methodologies and data movement across retail domains as defined by the Data Modeling team
• Manage and maintain enterprise-level orchestration outside of the Google Cloud Platform (e.g., Tidal Automation). You will ensure that data pipelines are synchronized with broader organizational workflows, managing critical interdependencies with other technical teams and legacy systems
• Act as the primary engineering point of contact for external teams. You will build and optimize the pipelines required by Data Science for model training/deployment and by Data Insight for reporting, ensuring their technical requirements are met with high availability
• Build and maintain high-velocity streaming and near-time pathways using Google Dataflow and Confluent Kafka to support real-time operational needs
• Mastery of Dataform (SQLX) to build orchestrated, environment-agnost...