diff --git a/clients/databricks/dialect/dialect.go b/clients/databricks/dialect/dialect.go
new file mode 100644
index 000000000..fcddec707
--- /dev/null
+++ b/clients/databricks/dialect/dialect.go
@@ -0,0 +1,51 @@
+package dialect
+
+import (
+	"fmt"
+
+	"github.com/artie-labs/transfer/lib/typing/ext"
+
+	"github.com/artie-labs/transfer/lib/typing"
+)
+
+type DatabricksDialect struct{}
+
+func (DatabricksDialect) QuoteIdentifier(identifier string) string {
+	return fmt.Sprintf("`%s`", identifier)
+}
+
+func (DatabricksDialect) EscapeStruct(value string) string {
+	panic("not implemented")
+}
+
+func (DatabricksDialect) DataTypeForKind(kindDetails typing.KindDetails, isPk bool) string {
+	switch kindDetails.Kind {
+	case typing.Float.Kind:
+		return "DOUBLE"
+	case typing.Integer.Kind:
+		return "INT"
+	case typing.Struct.Kind:
+		return "VARIANT"
+	case typing.Array.Kind:
+		// Databricks requires arrays to be typed. As such, we're going to use an array of strings.
+		return "ARRAY<string>"
+	case typing.String.Kind:
+		return "STRING"
+	case typing.Boolean.Kind:
+		return "BOOLEAN"
+	case typing.ETime.Kind:
+		switch kindDetails.ExtendedTimeDetails.Type {
+		case ext.TimestampTzKindType:
+			// Using datetime2 because it's the recommendation, and it provides more precision: https://stackoverflow.com/a/1884088
+			return "TIMESTAMP"
+		case ext.DateKindType:
+			return "DATE"
+		case ext.TimeKindType:
+			return "STRING"
+		}
+	case typing.EDecimal.Kind:
+		return kindDetails.ExtendedDecimalDetails.DatabricksKind()
+	}
+
+	return kindDetails.Kind
+}
diff --git a/lib/typing/decimal/details.go b/lib/typing/decimal/details.go
index f48ee485b..e6b7b8779 100644
--- a/lib/typing/decimal/details.go
+++ b/lib/typing/decimal/details.go
@@ -52,6 +52,12 @@ func (d Details) SnowflakeKind() string {
 	return d.toKind(MaxPrecisionBeforeString, "STRING")
 }
 
+// DatabricksKind - is used to determine whether a NUMERIC data type should be a STRING or NUMERIC(p, s).
+// Ref: https://docs.databricks.com/en/sql/language-manual/data-types/decimal-type.html
+func (d Details) DatabricksKind() string {
+	return d.toKind(MaxPrecisionBeforeString, "STRING")
+}
+
 // MsSQLKind - Has the same limitation as Redshift
 // Spec: https://learn.microsoft.com/en-us/sql/t-sql/data-types/decimal-and-numeric-transact-sql?view=sql-server-ver16#arguments
 func (d Details) MsSQLKind() string {