Databricks reading json with json-schema 2020-12 - json

Question

I have json and its schema defined from the source as below:
Schema.json
{
"$id": "https://example.com/person.schema.json",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"title": "Person","type": "object",
"properties": {
"firstName": {"type": "string","description": "The person's first name."},
"lastName": {"type": "string","description": "The person's last name."},
"age": {"description": "Age in years which must be equal to or greater than zero.",
"type": "integer","minimum": 0}}}
Data.json
{"firstName": "John","lastName": "Doe","age": 21}
Now I wanted to load the json from databricks with the given schema.
My Schema is with Json Schema 2020-12 format and PySpark expects schema with fields. Anyway to automatically infer the data from the schema so that I can explode it on my will. Any help to show the right path is much appreciated since I stuck for a day on this!
When I use StructType.fromJson(schema_plain_text) --> it returns
TypeError: string indices must be integers
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<command-353243474841> in <cell line: 1>()
----> 1 StructType.fromJson(schema_plain_text)
/databricks/spark/python/pyspark/sql/types.py in fromJson(cls, json)
810 #classmethod
811 def fromJson(cls, json: Dict[str, Any]) -> "StructType":
--> 812 return StructType([StructField.fromJson(f) for f in json["fields"]])
813
814 def fieldNames(self) -> List[str]:
TypeError: string indices must be integers
P.S My actual schema is much more complex with 100s of columns. So creating the schema manually with StructType definition is not a solution.