·         Experience with streaming data solutions, customer data platforms, and data virtualization technologies.

·         Experience with database technologies, understanding their strengths, weaknesses and appropriate use cases

·         Ability to easily partner with cross-functional teams to gather, understand and distill requirements.

·         Ability to create clear and detailed technical diagrams and documentation.

·         Drive architecture, design and modeling sessions, with ability to communicate, own the outcome and achieve shared vision.

·         Experience implementing data governance and data security processes.

·         Experience to engage “hands-on” with data design and modeling.

·         Understanding of Machine Learning use cases preferred.