In DoppelLab, we are developing tools that intuitively and scalably represent the rich, multimodal sensor data produced by a building and its inhabitants. Our aims transcend the traditional graphical display, in terms of the richness of data conveyed and the immersiveness of the user experience. To this end, we have incorporated 3D spatialized data sonification into the DoppelLab application, as well as in standalone installations. Currently, we virtually spatialize streams of audio recorded by nodes throughout the physical space. By reversing and shuffling short audio segments, we distill the sound to its ambient essence while protecting occupant privacy. In addition to the sampled audio, our work includes abstract data sonification that conveys multimodal sensor data.