Cellular senescence is the natural program by which cells enter a permanent cell cycle arrest in response to stresses including replicative exhaustion, oncogenic signaling, or DNA damage. Although senescence exerts beneficial effects by acting as a barrier against tumorigenesis, senescent cells can also drive chronic inflammation and age-related diseases through secretion of cytokines and other inflammatory proteins. Therefore, the identification of senolytic compounds that specifically eliminate senescent cells has become an area of great therapeutic promise. Here, we used mass spectrometry-based proteomics to identify senescence biomarkers in primary human mammary epithelial cells (HMECs), a model system for aging. By integrating proteomic data from replicative senescence, immortalization by telomerase reactivation, and drug-induced senescence, we identified a robust HMEC proteomic signature of senescence consisting of 57 upregulated and 29 downregulated proteins. This senescence signature identified both well-known senescence biomarkers, including downregulation of the nuclear lamina protein lamin-B1 (LMNB1), as well as novel biomarkers such as upregulation of the β-galactoside-binding protein galectin-7 (LGALS7). Then, we integrated our proteomic signature of senescence with large-scale drug screening databases to predict that EGFR inhibitors, MEK inhibitors, and dasatinib are novel senolytics in HMEC. Taken together, our results support that the combination of quantitative proteomics and public drug screening databases is a powerful approach to identify senescence biomarkers and novel senolytic compounds.