Consider a scenario where you are processing time series data from IoT devices using Spark Structured Streaming. The data includes temperature readings from various sensors. How would you structure your Spark job to process this data efficiently, including handling data across partitions and within one partition? Additionally, describe how you would manage any potential schema changes in the incoming data.