We have a spark streaming job that consumes data from a Kafka topic and writes out to delta tables in Unity Catalog.

Looking to refactor it to use Delta Live Tables, but it appears that it is not possible at present to have a DLT Pipeline that can access Unity Catalog, and authenticate with kafka over SSL.

Our code for establishing the readStream is as follows:

df = (spark.readStream
    .format('kafka')
    .option('subscribe', _KAFKA_TOPIC)
    .option('kafka.bootstrap.servers', _KAFKA_BROKER)
    .option('kafka.security.protocol', 'SSL')
    .option('kafka.ssl.truststore.location', f'{_AUTH_KAFKA_URL}client.truststore.jks')
    .option('kafka.ssl.truststore.password', dbutils.secrets.get(scope='auth-secret-scope', key='kafka.ssl.truststore.password'))
    .option('kafka.ssl.truststore.type', 'JKS')
    .option('kafka.ssl.keystore.location', f'{_AUTH_KAFKA_URL}client.keystore.p12')
    .option('kafka.ssl.keystore.password', dbutils.secrets.get(scope='auth-secret-scope', key='kafka.ssl.keystore.password'))
    .option('kafka.ssl.keystore.type', 'PKCS12')
    .option('startingOffsets', 'earliest')
    .load()
    .withColumn('key', f.col('key').cast(t.StringType()))
    .withColumn('value', f.col('value').cast(t.StringType())))

But running the pipeline results in the following error:

AnalysisException: [UNSUPPORTED_STREAMING_OPTIONS_PERMISSION_ENFORCED] Streaming options kafka.ssl.truststore.location, kafka.ssl.keystore.location are not supported for data source kafka on a shared cluster.

Is it planned that in future DLT Pipelines might be able to be executed on something other than a shared cluster and write to Unity Catalog? Or to support the kafka.ssl.truststore.location and kafka.ssl.keystore.location options on shared clusters?