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.

Leads software engineering teams and oversees full product technical lifecycles. Provides architectural direction, writes complex production-ready software, makes technology decisions, ensures technical quality, documents architecture, mentors engineers, and communicates technical issues to technical and non-technical stakeholders. The role also supports hiring, client solutioning, sales estimates, and domain leadership. Required expertise includes C#, .NET, Microsoft Azure, application architecture, and AI-assisted development.

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.