Today, in the state of the art process engine solutions, process models are executed by a central orchestrator (i.e. one per process). There are however a lot of drawbacks in using a central coordinator, including a single point of failure and performance degradation. Decentralization algorithms that distribute the workload of the central orchestrator exist, but they still suffer from a tight coupling and therefore decreased scalability. In this paper, we aim to investigate the benefits of using an event driven architecture to support the communication in a decentralized orchestration. This accomplishes space and time decoupling of the process coordinators and hereby creates autonomous fine grained self-serving process engines. Benefits include an increased scalability and availability of the global process flow.