The Nancy Grace Roman Space Telescope (Roman) is an upcoming NASA flagship mission that is planned for launch no later than 2027. Roman is primarily a survey mission with the Wide Field Instrument (WFI) as its main instrument. The WFI consists of eighteen 16-megapixel detectors and is anticipated to produce 20 PB of science data during its five-year primary mission, an order of magnitude more than the current and planned yields of all active NASA flagship missions in astrophysics. If the effort to inspect data by eye scales with the number of pixels, WFI-sized data may dictate a full-time job's worth of attention. Thus, we present the Roman Data Monitoring Tool, a scalable, cloud-based platform built to automate the anomaly detection process for WFI science observations. Hosted on Amazon Web Services (AWS), our proof of concept is an event-driven pipeline using AWS Lambda that judges the astrometric alignment of newly uploaded simulations against Gaia's Data Release 3 and logs results in a database. Future plans include building parallel pipelines to track other phenomena of interest and a dashboard of all monitoring results to aid in triage when follow-up support is necessary.