Summary
Chris Kaufmann is a seasoned data and software development leader with 15+ years building and scaling enterprise data platforms, analytics, and cloud-native delivery pipelines. Currently directing Data and Integrations functions, he combines hands-on technical judgment with people leadership to guide agile teams, managers, and cross-functional partners toward continuous delivery for both cloud and on‑prem customers. His background spans major platform modernizations—Snowflake, Snowpark, Kafka/Confluent migrations, Snowflake-driven DWs, and high-throughput transactional systems—delivered under tight timelines and complex stakeholder environments. Chris is comfortable translating executive priorities into practical roadmaps and coaching managers to operationalize strategy while maintaining product quality and customer success. Notably, he has led transformations that shifted large organizations from infrequent big releases to rapid, customer-driven cadence and has driven GenAI/semantic data extraction initiatives in production. Based in Chicago, he pairs deep technical breadth with a track record of mentoring teams and presenting outcomes to executive and customer audiences.
15 years of coding experience
20 years of employment as a software developer
Bachelor of Arts (B.A.), Bachelor of Arts (B.A.) at Saint Olaf College
University College Dublin