Globalization, powered by digitization, is increasing technology growth and knowledge transfer rates to levels not seen in the previous 3500 years, obscuring absolute truth and accelerating rates of innovation and production. Competing, or remaining competitive, in this global marketplace requires a learning organization adopt a method of capture, retention, and reuse for demonstrated tacit knowledge to accelerate the development of increasingly complex systems of high quality at a reasonable cost. The architectural theory of Patterns and Pattern Language is a validated methodology for mining tacit domain knowledge from a proven system. This work applies architectural theory to a multi-year development experiment and captures exposed knowledge as a design pattern in a model based systems engineering tool, demonstrating applicability of digital engineering initiatives in the description and reuse of expert design knowledge. By creating and archiving model based expressions of expert knowledge, a learning organization can improve practical decision making and avoid uninformed concept phase decision making.