It is all right with FA based on variables measured on different scales and/or having different variance.
But you should decide if you are going to base FA on correlations or covariances. You may want to check these threads: https://stats.stackexchange.com/q/62677/3277 ; https://stats.stackexchange.com/q/53/3277.
Doing the analysis on correlations (a more frequent decision) saves you from thinking about prior linear rescaling both your scales to a common one, such as range to 0-1 scale - because Pearson r is insensitive to linear transforms of data.
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Kirill Orlov
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