Designs and implements scalable data pipelines, cloud data platforms, storage solutions, and analytics infrastructure. The role focuses on Snowflake and AWS architecture, migrating legacy systems to cloud environments, developing Python and SQL data-processing logic, orchestrating workflows, and implementing Infrastructure-as-Code and CI/CD. The engineer also contributes to data governance, quality, observability, stakeholder communication, mentoring, and technical leadership.

Lead pre-sales solutioning for Data, AI/ML, and GenAI on Google Cloud: qualify opportunities, design end-to-end architectures, produce de-risked estimates and SOWs, partner with sales and delivery, and represent Nerdery in the Google partner ecosystem to accelerate deal closure.