After additional googling on "withColumnRenamed", I was able to replace all spaces in column names with "_" all at once by using select and alias instead:

@dlt.view(
  comment=""
)
def vw_raw():          
  return (
    spark.readStream.format("cloudFiles")
      .option("cloudFiles.format", "csv")
      .options(header='true')
      .option("inferSchema", "true")
      .load(path_to_load) 
  )
 
@dlt.table(
  comment=""
)
def table_raw():          
  return (
    dlt.readStream("vw_raw")
      .select([col(c).alias(c.replace(" ", "_")) for c in dlt.readStream("vw_raw").columns]) 
  )

It also works using "cloudFiles.inferColumnTypes" = "true" and "cloudFiles.schemaHints" in the view definition.