diff --git a/ci/build_wheel_cudf.sh b/ci/build_wheel_cudf.sh
index 456a3a289d1..e79b9a35aa2 100755
--- a/ci/build_wheel_cudf.sh
+++ b/ci/build_wheel_cudf.sh
@@ -5,7 +5,7 @@ set -euo pipefail
 
 package_dir="python/cudf"
 
-export SKBUILD_CONFIGURE_OPTIONS="-DCUDF_BUILD_WHEELS=ON -DDETECT_CONDA_ENV=OFF"
+export SKBUILD_CONFIGURE_OPTIONS="-DUSE_LIBARROW_FROM_PYARROW=ON"
 
 ./ci/build_wheel.sh cudf ${package_dir}
 
diff --git a/cpp/CMakeLists.txt b/cpp/CMakeLists.txt
index 234ad1ebf03..dbd67a1e6ac 100644
--- a/cpp/CMakeLists.txt
+++ b/cpp/CMakeLists.txt
@@ -78,6 +78,8 @@ option(CUDA_ENABLE_LINEINFO
 option(CUDA_WARNINGS_AS_ERRORS "Enable -Werror=all-warnings for all CUDA compilation" ON)
 # cudart can be statically linked or dynamically linked. The python ecosystem wants dynamic linking
 option(CUDA_STATIC_RUNTIME "Statically link the CUDA runtime" OFF)
+option(USE_LIBARROW_FROM_PYARROW "Only use the libarrow contained in pyarrow" OFF)
+mark_as_advanced(USE_LIBARROW_FROM_PYARROW)
 
 set(DEFAULT_CUDF_BUILD_STREAMS_TEST_UTIL ON)
 if(CUDA_STATIC_RUNTIME OR NOT BUILD_SHARED_LIBS)
@@ -90,9 +92,6 @@ option(
 )
 mark_as_advanced(CUDF_BUILD_STREAMS_TEST_UTIL)
 
-option(USE_LIBARROW_FROM_PYARROW "Use the libarrow contained within pyarrow." OFF)
-mark_as_advanced(USE_LIBARROW_FROM_PYARROW)
-
 message(VERBOSE "CUDF: Build with NVTX support: ${USE_NVTX}")
 message(VERBOSE "CUDF: Configure CMake to build tests: ${BUILD_TESTS}")
 message(VERBOSE "CUDF: Configure CMake to build (google & nvbench) benchmarks: ${BUILD_BENCHMARKS}")
diff --git a/cpp/cmake/thirdparty/get_arrow.cmake b/cpp/cmake/thirdparty/get_arrow.cmake
index 05aa5730b4d..d971a32db70 100644
--- a/cpp/cmake/thirdparty/get_arrow.cmake
+++ b/cpp/cmake/thirdparty/get_arrow.cmake
@@ -34,20 +34,35 @@ function(find_libarrow_in_python_wheel PYARROW_VERSION)
   # version number soname, just `${MAJOR_VERSION}00`
   set(PYARROW_LIB "libarrow.so.${PYARROW_SO_VER}00")
 
-  find_package(Python REQUIRED)
-  execute_process(
+  string(
+    APPEND
+    initial_code_block
+    [=[
+find_package(Python 3.9 REQUIRED COMPONENTS Interpreter)
+execute_process(
     COMMAND "${Python_EXECUTABLE}" -c "import pyarrow; print(pyarrow.get_library_dirs()[0])"
     OUTPUT_VARIABLE CUDF_PYARROW_WHEEL_DIR
     OUTPUT_STRIP_TRAILING_WHITESPACE
+    COMMAND_ERROR_IS_FATAL ANY
+)
+list(APPEND CMAKE_PREFIX_PATH "${CUDF_PYARROW_WHEEL_DIR}")
+]=]
+  )
+  string(
+    APPEND
+    final_code_block
+    [=[
+list(POP_BACK CMAKE_PREFIX_PATH)
+]=]
   )
-  list(APPEND CMAKE_PREFIX_PATH "${CUDF_PYARROW_WHEEL_DIR}")
   rapids_find_generate_module(
     Arrow NO_CONFIG
     VERSION "${PYARROW_VERSION}"
     LIBRARY_NAMES "${PYARROW_LIB}"
     BUILD_EXPORT_SET cudf-exports
     INSTALL_EXPORT_SET cudf-exports
-    HEADER_NAMES arrow/python/arrow_to_pandas.h
+    HEADER_NAMES arrow/python/arrow_to_pandas.h INITIAL_CODE_BLOCK initial_code_block
+                 FINAL_CODE_BLOCK final_code_block
   )
 
   find_package(Arrow ${PYARROW_VERSION} MODULE REQUIRED GLOBAL)
@@ -62,20 +77,20 @@ function(find_libarrow_in_python_wheel PYARROW_VERSION)
   # benchmarks will not work without updating GBench (and possibly NVBench) builds. We are currently
   # ignoring these limitations since we don't anticipate using this feature except for building
   # wheels.
-  EXECUTE_PROCESS(
+  execute_process(
     COMMAND ${CMAKE_C_COMPILER} -print-file-name=libc.so.6
     OUTPUT_VARIABLE GLIBC_EXECUTABLE
     OUTPUT_STRIP_TRAILING_WHITESPACE
   )
-  EXECUTE_PROCESS(
+  execute_process(
     COMMAND ${GLIBC_EXECUTABLE}
     OUTPUT_VARIABLE GLIBC_OUTPUT
     OUTPUT_STRIP_TRAILING_WHITESPACE
   )
-  STRING(REGEX MATCH "stable release version ([0-9]+\\.[0-9]+)" GLIBC_VERSION ${GLIBC_OUTPUT})
-  STRING(REPLACE "stable release version " "" GLIBC_VERSION ${GLIBC_VERSION})
-  STRING(REPLACE "." ";" GLIBC_VERSION_LIST ${GLIBC_VERSION})
-  LIST(GET GLIBC_VERSION_LIST 1 GLIBC_VERSION_MINOR)
+  string(REGEX MATCH "stable release version ([0-9]+\\.[0-9]+)" GLIBC_VERSION ${GLIBC_OUTPUT})
+  string(REPLACE "stable release version " "" GLIBC_VERSION ${GLIBC_VERSION})
+  string(REPLACE "." ";" GLIBC_VERSION_LIST ${GLIBC_VERSION})
+  list(GET GLIBC_VERSION_LIST 1 GLIBC_VERSION_MINOR)
   if(GLIBC_VERSION_MINOR LESS 28)
     target_compile_options(
       Arrow::Arrow INTERFACE "$<$<COMPILE_LANGUAGE:CXX>:-D_GLIBCXX_USE_CXX11_ABI=0>"
@@ -85,16 +100,14 @@ function(find_libarrow_in_python_wheel PYARROW_VERSION)
 
   rapids_export_package(BUILD Arrow cudf-exports)
   rapids_export_package(INSTALL Arrow cudf-exports)
-
-  list(POP_BACK CMAKE_PREFIX_PATH)
 endfunction()
 
 # This function finds arrow and sets any additional necessary environment variables.
 function(find_and_configure_arrow VERSION BUILD_STATIC ENABLE_S3 ENABLE_ORC ENABLE_PYTHON
-         ENABLE_PARQUET
+         ENABLE_PARQUET PYARROW_LIBARROW
 )
 
-  if(USE_LIBARROW_FROM_PYARROW)
+  if(PYARROW_LIBARROW)
     # Generate a FindArrow.cmake to find pyarrow's libarrow.so
     find_libarrow_in_python_wheel(${VERSION})
     set(ARROW_FOUND
@@ -434,5 +447,5 @@ endif()
 
 find_and_configure_arrow(
   ${CUDF_VERSION_Arrow} ${CUDF_USE_ARROW_STATIC} ${CUDF_ENABLE_ARROW_S3} ${CUDF_ENABLE_ARROW_ORC}
-  ${CUDF_ENABLE_ARROW_PYTHON} ${CUDF_ENABLE_ARROW_PARQUET}
+  ${CUDF_ENABLE_ARROW_PYTHON} ${CUDF_ENABLE_ARROW_PARQUET} ${USE_LIBARROW_FROM_PYARROW}
 )
diff --git a/python/cudf/CMakeLists.txt b/python/cudf/CMakeLists.txt
index c0e16bedb1b..8a9ea00d640 100644
--- a/python/cudf/CMakeLists.txt
+++ b/python/cudf/CMakeLists.txt
@@ -33,28 +33,29 @@ project(
 option(FIND_CUDF_CPP "Search for existing CUDF C++ installations before defaulting to local files"
        OFF
 )
-option(CUDF_BUILD_WHEELS "Whether this build is generating a Python wheel." OFF)
-option(USE_LIBARROW_FROM_PYARROW "Use the libarrow contained within pyarrow." OFF)
+option(USE_LIBARROW_FROM_PYARROW "Only use the libarrow contained in pyarrow" OFF)
 mark_as_advanced(USE_LIBARROW_FROM_PYARROW)
 
-# Always build wheels against the pyarrow libarrow.
-if(CUDF_BUILD_WHEELS)
-  set(USE_LIBARROW_FROM_PYARROW ON)
-endif()
+# Find Python early so that later commands can use it
+find_package(Python 3.9 REQUIRED COMPONENTS Interpreter)
 
 # If the user requested it we attempt to find CUDF.
 if(FIND_CUDF_CPP)
+  include(rapids-cpm)
+  include(rapids-export)
+  include(rapids-find)
+  rapids_cpm_init()
+
   if(USE_LIBARROW_FROM_PYARROW)
-    # We need to find arrow before libcudf since libcudf requires it but doesn't bundle it. TODO:
-    # These options should probably all become optional since in practice they aren't meaningful
-    # except in the case where we actually compile Arrow.
+    # We need to find arrow before libcudf since libcudf requires it but doesn't bundle arrow
+    # libraries. These variables have no effect because we are always searching for arrow via
+    # pyarrow, but they must be set as they are required arguments to the function in
+    # get_arrow.cmake.
     set(CUDF_USE_ARROW_STATIC OFF)
     set(CUDF_ENABLE_ARROW_S3 OFF)
     set(CUDF_ENABLE_ARROW_ORC OFF)
     set(CUDF_ENABLE_ARROW_PYTHON OFF)
     set(CUDF_ENABLE_ARROW_PARQUET OFF)
-    include(rapids-find)
-    include(rapids-export)
     include(../../cpp/cmake/thirdparty/get_arrow.cmake)
   endif()
 
@@ -62,8 +63,6 @@ if(FIND_CUDF_CPP)
 
   # an installed version of libcudf doesn't provide the dlpack headers so we need to download dlpack
   # for the interop.pyx
-  include(rapids-cpm)
-  rapids_cpm_init()
   include(../../cpp/cmake/thirdparty/get_dlpack.cmake)
 else()
   set(cudf_FOUND OFF)
@@ -74,42 +73,32 @@ include(rapids-cython)
 if(NOT cudf_FOUND)
   set(BUILD_TESTS OFF)
   set(BUILD_BENCHMARKS OFF)
+  set(CUDF_BUILD_TESTUTIL OFF)
+  set(CUDF_BUILD_STREAMS_TEST_UTIL OFF)
+  set(CUDA_STATIC_RUNTIME ON)
 
-  set(_exclude_from_all "")
-  if(CUDF_BUILD_WHEELS)
-    # We don't build C++ tests when building wheels, so we can also omit the test util and shrink
-    # the wheel by avoiding embedding GTest.
-    set(CUDF_BUILD_TESTUTIL OFF)
-    set(CUDF_BUILD_STREAMS_TEST_UTIL OFF)
+  add_subdirectory(../../cpp cudf-cpp EXCLUDE_FROM_ALL)
 
-    # Statically link cudart if building wheels
-    set(CUDA_STATIC_RUNTIME ON)
-
-    # Need to set this so all the nvcomp targets are global, not only nvcomp::nvcomp
-    # https://cmake.org/cmake/help/latest/variable/CMAKE_FIND_PACKAGE_TARGETS_GLOBAL.html#variable:CMAKE_FIND_PACKAGE_TARGETS_GLOBAL
-    set(CMAKE_FIND_PACKAGE_TARGETS_GLOBAL ON)
-
-    # Don't install the cuDF C++ targets into wheels
-    set(_exclude_from_all EXCLUDE_FROM_ALL)
-  endif()
-
-  add_subdirectory(../../cpp cudf-cpp ${_exclude_from_all})
-
-  if(CUDF_BUILD_WHEELS)
-    include(cmake/Modules/WheelHelpers.cmake)
-    get_target_property(_nvcomp_link_libs nvcomp::nvcomp INTERFACE_LINK_LIBRARIES)
-    # Ensure all the shared objects we need at runtime are in the wheel
-    add_target_libs_to_wheel(LIB_DIR cudf TARGETS arrow_shared nvcomp::nvcomp ${_nvcomp_link_libs})
-  endif()
-  # Since there are multiple subpackages of cudf._lib that require access to libcudf, we place the
-  # library in the cudf directory as a single source of truth and modify the other rpaths
-  # appropriately.
+  # libcudf targets are excluded by default above via EXCLUDE_FROM_ALL to remove extraneous
+  # components like headers from libcudacxx, but we do need the libraries. However, we want to
+  # control where they are installed to. Since there are multiple subpackages of cudf._lib that
+  # require access to libcudf, we place the library and all its dependent artifacts in the cudf
+  # directory as a single source of truth and modify the other rpaths appropriately.
   set(cython_lib_dir cudf)
-  install(TARGETS cudf DESTINATION ${cython_lib_dir})
+  include(cmake/Modules/WheelHelpers.cmake)
+  # TODO: This install is currently overzealous. We should only install the libraries that are
+  # downloaded by CPM during the build, not libraries that were found on the system.  However, in
+  # practice right this would only be a problem is if libcudf was not found but some of the
+  # dependencies were, and we have no real use cases where that happens.
+  install_aliased_imported_targets(
+    TARGETS cudf arrow_shared nvcomp::nvcomp nvcomp::nvcomp_gdeflate nvcomp::nvcomp_bitcomp
+    DESTINATION ${cython_lib_dir}
+  )
 endif()
 
 rapids_cython_init()
 
+include(cmake/Modules/LinkPyarrowHeaders.cmake)
 add_subdirectory(cudf/_lib)
 add_subdirectory(udf_cpp)
 
diff --git a/python/cudf/cmake/Modules/LinkPyarrowHeaders.cmake b/python/cudf/cmake/Modules/LinkPyarrowHeaders.cmake
new file mode 100644
index 00000000000..8dc47c470ba
--- /dev/null
+++ b/python/cudf/cmake/Modules/LinkPyarrowHeaders.cmake
@@ -0,0 +1,55 @@
+# =============================================================================
+# Copyright (c) 2023, NVIDIA CORPORATION.
+#
+# Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except
+# in compliance with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software distributed under the License
+# is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
+# or implied. See the License for the specific language governing permissions and limitations under
+# the License.
+# =============================================================================
+include_guard(GLOBAL)
+
+# TODO: Finding NumPy currently requires finding Development due to a bug in CMake. This bug was
+# fixed in https://gitlab.kitware.com/cmake/cmake/-/merge_requests/7410 and will be available in
+# CMake 3.24, so we can remove the Development component once we upgrade to CMake 3.24.
+# find_package(Python REQUIRED COMPONENTS Development NumPy)
+
+# Note: The bug noted above prevents us from finding NumPy successfully using FindPython.cmake
+# inside the manylinux images used to build wheels because manylinux images do not contain
+# libpython.so and therefore Development cannot be found. Until we upgrade to CMake 3.24, we should
+# use FindNumpy.cmake instead (provided by scikit-build). When we switch to 3.24 we can try
+# switching back, but it may not work if that implicitly still requires Python libraries. In that
+# case we'll need to follow up with the CMake team to remove that dependency.  The stopgap solution
+# is to unpack the static lib tarballs in the wheel building jobs so that there are at least static
+# libs to be found, but that should be a last resort since it implies a dependency that isn't really
+# necessary. The relevant command is tar -xf /opt/_internal/static-libs-for-embedding-only.tar.xz -C
+# /opt/_internal"
+find_package(NumPy REQUIRED)
+
+execute_process(
+  COMMAND "${Python_EXECUTABLE}" -c "import pyarrow; print(pyarrow.get_include())"
+  OUTPUT_VARIABLE PYARROW_INCLUDE_DIR
+  ERROR_VARIABLE PYARROW_ERROR
+  RESULT_VARIABLE PYARROW_RESULT
+  OUTPUT_STRIP_TRAILING_WHITESPACE
+)
+
+if(${PYARROW_RESULT})
+  message(FATAL_ERROR "Error while trying to obtain pyarrow include directory:\n${PYARROW_ERROR}")
+endif()
+
+# Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts of
+# cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
+# requirement for arrow headers infects all of cudf. These requirements will go away once all
+# scalar-related Cython code is removed from cudf.
+function(link_to_pyarrow_headers targets)
+  foreach(target IN LISTS targets)
+    # PyArrow headers require numpy headers.
+    target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
+    target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
+  endforeach()
+endfunction()
diff --git a/python/cudf/cmake/Modules/WheelHelpers.cmake b/python/cudf/cmake/Modules/WheelHelpers.cmake
index c0351e8bbcc..278d6751c15 100644
--- a/python/cudf/cmake/Modules/WheelHelpers.cmake
+++ b/python/cudf/cmake/Modules/WheelHelpers.cmake
@@ -14,15 +14,15 @@
 include_guard(GLOBAL)
 
 # Making libraries available inside wheels by installing the associated targets.
-function(add_target_libs_to_wheel)
-  list(APPEND CMAKE_MESSAGE_CONTEXT "add_target_libs_to_wheel")
+function(install_aliased_imported_targets)
+  list(APPEND CMAKE_MESSAGE_CONTEXT "install_aliased_imported_targets")
 
   set(options "")
-  set(one_value "LIB_DIR")
+  set(one_value "DESTINATION")
   set(multi_value "TARGETS")
   cmake_parse_arguments(_ "${options}" "${one_value}" "${multi_value}" ${ARGN})
 
-  message(VERBOSE "Installing targets '${__TARGETS}' into lib_dir '${__LIB_DIR}'")
+  message(VERBOSE "Installing targets '${__TARGETS}' into lib_dir '${__DESTINATION}'")
 
   foreach(target IN LISTS __TARGETS)
 
@@ -39,33 +39,21 @@ function(add_target_libs_to_wheel)
     get_target_property(is_imported ${target} IMPORTED)
     if(NOT is_imported)
       # If the target isn't imported, install it into the wheel
-      install(TARGETS ${target} DESTINATION ${__LIB_DIR})
-      message(VERBOSE "install(TARGETS ${target} DESTINATION ${__LIB_DIR})")
+      install(TARGETS ${target} DESTINATION ${__DESTINATION})
+      message(VERBOSE "install(TARGETS ${target} DESTINATION ${__DESTINATION})")
     else()
       # If the target is imported, make sure it's global
-      get_target_property(already_global ${target} IMPORTED_GLOBAL)
-      if(NOT already_global)
-        set_target_properties(${target} PROPERTIES IMPORTED_GLOBAL TRUE)
+      get_target_property(type ${target} TYPE)
+      if(${type} STREQUAL "UNKNOWN_LIBRARY")
+        install(FILES $<TARGET_FILE:${target}> DESTINATION ${__DESTINATION})
+        message(VERBOSE "install(FILES $<TARGET_FILE:${target}> DESTINATION ${__DESTINATION})")
+      else()
+        install(IMPORTED_RUNTIME_ARTIFACTS ${target} DESTINATION ${__DESTINATION})
+        message(
+          VERBOSE
+          "install(IMPORTED_RUNTIME_ARTIFACTS $<TARGET_FILE:${target}> DESTINATION ${__DESTINATION})"
+        )
       endif()
-
-      # Find the imported target's library so we can copy it into the wheel
-      set(lib_loc)
-      foreach(prop IN ITEMS IMPORTED_LOCATION IMPORTED_LOCATION_RELEASE IMPORTED_LOCATION_DEBUG)
-        get_target_property(lib_loc ${target} ${prop})
-        if(lib_loc)
-          message(VERBOSE "Found ${prop} for ${target}: ${lib_loc}")
-          break()
-        endif()
-        message(VERBOSE "${target} has no value for property ${prop}")
-      endforeach()
-
-      if(NOT lib_loc)
-        message(FATAL_ERROR "Found no libs to install for target ${target}")
-      endif()
-
-      # Copy the imported library into the wheel
-      install(FILES ${lib_loc} DESTINATION ${__LIB_DIR})
-      message(VERBOSE "install(FILES ${lib_loc} DESTINATION ${__LIB_DIR})")
     endif()
   endforeach()
 endfunction()
diff --git a/python/cudf/cudf/_lib/CMakeLists.txt b/python/cudf/cudf/_lib/CMakeLists.txt
index c041c7f4842..6d4c2a33316 100644
--- a/python/cudf/cudf/_lib/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/CMakeLists.txt
@@ -65,50 +65,7 @@ rapids_cython_create_modules(
 
 target_link_libraries(strings_udf cudf_strings_udf)
 
-# TODO: Finding NumPy currently requires finding Development due to a bug in CMake. This bug was
-# fixed in https://gitlab.kitware.com/cmake/cmake/-/merge_requests/7410 and will be available in
-# CMake 3.24, so we can remove the Development component once we upgrade to CMake 3.24.
-# find_package(Python REQUIRED COMPONENTS Development NumPy)
-
-# Note: The bug noted above prevents us from finding NumPy successfully using FindPython.cmake
-# inside the manylinux images used to build wheels because manylinux images do not contain
-# libpython.so and therefore Development cannot be found. Until we upgrade to CMake 3.24, we should
-# use FindNumpy.cmake instead (provided by scikit-build). When we switch to 3.24 we can try
-# switching back, but it may not work if that implicitly still requires Python libraries. In that
-# case we'll need to follow up with the CMake team to remove that dependency.  The stopgap solution
-# is to unpack the static lib tarballs in the wheel building jobs so that there are at least static
-# libs to be found, but that should be a last resort since it implies a dependency that isn't really
-# necessary. The relevant command is tar -xf /opt/_internal/static-libs-for-embedding-only.tar.xz -C
-# /opt/_internal"
-find_package(NumPy REQUIRED)
-
-set(targets_using_dlpack interop)
-foreach(target IN LISTS targets_using_dlpack)
-  target_include_directories(${target} PRIVATE "${DLPACK_INCLUDE_DIR}")
-endforeach()
-
-find_package(Python 3.9 REQUIRED COMPONENTS Interpreter)
-
-execute_process(
-  COMMAND "${Python_EXECUTABLE}" -c "import pyarrow; print(pyarrow.get_include())"
-  OUTPUT_VARIABLE PYARROW_INCLUDE_DIR
-  ERROR_VARIABLE PYARROW_ERROR
-  RESULT_VARIABLE PYARROW_RESULT
-  OUTPUT_STRIP_TRAILING_WHITESPACE
-)
-
-if(${PYARROW_RESULT})
-  message(FATAL_ERROR "Error while trying to obtain pyarrow include directory:\n${PYARROW_ERROR}")
-endif()
-
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That in turn requires including numpy headers.
-# These requirements will go away once all scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
 
 add_subdirectory(cpp)
 add_subdirectory(io)
diff --git a/python/cudf/cudf/_lib/nvtext/CMakeLists.txt b/python/cudf/cudf/_lib/nvtext/CMakeLists.txt
index d7cbdeb5bda..55301789812 100644
--- a/python/cudf/cudf/_lib/nvtext/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/nvtext/CMakeLists.txt
@@ -22,11 +22,4 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}" MODULE_PREFIX nvtext_ ASSOCIATED_TARGETS cudf
 )
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That in turn requires including numpy headers.
-# These requirements will go away once all scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
diff --git a/python/cudf/cudf/_lib/pylibcudf/CMakeLists.txt b/python/cudf/cudf/_lib/pylibcudf/CMakeLists.txt
index 5185b2d4bb5..870a00f99a9 100644
--- a/python/cudf/cudf/_lib/pylibcudf/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/pylibcudf/CMakeLists.txt
@@ -21,24 +21,4 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}" MODULE_PREFIX pylibcudf_ ASSOCIATED_TARGETS cudf
 )
-
-find_package(Python 3.9 REQUIRED COMPONENTS Interpreter)
-
-execute_process(
-  COMMAND "${Python_EXECUTABLE}" -c "import pyarrow; print(pyarrow.get_include())"
-  OUTPUT_VARIABLE PYARROW_INCLUDE_DIR
-  OUTPUT_STRIP_TRAILING_WHITESPACE
-)
-
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
-
-# TODO: Clean up this include when switching to scikit-build-core. See cudf/_lib/CMakeLists.txt for
-# more info
-find_package(NumPy REQUIRED)
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  # Switch to the line below when we switch back to FindPython.cmake in CMake 3.24.
-  # target_include_directories(${target} PRIVATE "${Python_NumPy_INCLUDE_DIRS}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
diff --git a/python/cudf/cudf/_lib/strings/CMakeLists.txt b/python/cudf/cudf/_lib/strings/CMakeLists.txt
index fc11f047ab4..081b84db79c 100644
--- a/python/cudf/cudf/_lib/strings/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/strings/CMakeLists.txt
@@ -40,14 +40,7 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}" MODULE_PREFIX strings_ ASSOCIATED_TARGETS cudf
 )
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That requirement will go away once all
-# scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
 
 add_subdirectory(convert)
 add_subdirectory(split)
diff --git a/python/cudf/cudf/_lib/strings/convert/CMakeLists.txt b/python/cudf/cudf/_lib/strings/convert/CMakeLists.txt
index f55bb1fb780..ebd7a793bf4 100644
--- a/python/cudf/cudf/_lib/strings/convert/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/strings/convert/CMakeLists.txt
@@ -22,11 +22,4 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}" MODULE_PREFIX strings_ ASSOCIATED_TARGETS cudf
 )
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That requirement will go away once all
-# scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
diff --git a/python/cudf/cudf/_lib/strings/split/CMakeLists.txt b/python/cudf/cudf/_lib/strings/split/CMakeLists.txt
index 2f2063482af..105e73788fe 100644
--- a/python/cudf/cudf/_lib/strings/split/CMakeLists.txt
+++ b/python/cudf/cudf/_lib/strings/split/CMakeLists.txt
@@ -20,11 +20,4 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}" MODULE_PREFIX strings_ ASSOCIATED_TARGETS cudf
 )
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That requirement will go away once all
-# scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")
diff --git a/python/cudf_kafka/cudf_kafka/_lib/CMakeLists.txt b/python/cudf_kafka/cudf_kafka/_lib/CMakeLists.txt
index 3262b7d5ebe..4f3b9220a4f 100644
--- a/python/cudf_kafka/cudf_kafka/_lib/CMakeLists.txt
+++ b/python/cudf_kafka/cudf_kafka/_lib/CMakeLists.txt
@@ -20,43 +20,5 @@ rapids_cython_create_modules(
   SOURCE_FILES "${cython_sources}"
   LINKED_LIBRARIES "${linked_libraries}"
 )
-
-# TODO: Finding NumPy currently requires finding Development due to a bug in CMake. This bug was
-# fixed in https://gitlab.kitware.com/cmake/cmake/-/merge_requests/7410 and will be available in
-# CMake 3.24, so we can remove the Development component once we upgrade to CMake 3.24.
-# find_package(Python REQUIRED COMPONENTS Development NumPy)
-
-# Note: The bug noted above prevents us from finding NumPy successfully using FindPython.cmake
-# inside the manylinux images used to build wheels because manylinux images do not contain
-# libpython.so and therefore Development cannot be found. Until we upgrade to CMake 3.24, we should
-# use FindNumpy.cmake instead (provided by scikit-build). When we switch to 3.24 we can try
-# switching back, but it may not work if that implicitly still requires Python libraries. In that
-# case we'll need to follow up with the CMake team to remove that dependency.  The stopgap solution
-# is to unpack the static lib tarballs in the wheel building jobs so that there are at least static
-# libs to be found, but that should be a last resort since it implies a dependency that isn't really
-# necessary. The relevant command is tar -xf /opt/_internal/static-libs-for-embedding-only.tar.xz -C
-# /opt/_internal"
-find_package(NumPy REQUIRED)
-
-find_package(Python 3.9 REQUIRED COMPONENTS Interpreter)
-
-execute_process(
-  COMMAND "${Python_EXECUTABLE}" -c "import pyarrow; print(pyarrow.get_include())"
-  OUTPUT_VARIABLE PYARROW_INCLUDE_DIR
-  ERROR_VARIABLE PYARROW_ERROR
-  RESULT_VARIABLE PYARROW_RESULT
-  OUTPUT_STRIP_TRAILING_WHITESPACE
-)
-
-if(${PYARROW_RESULT})
-  message(FATAL_ERROR "Error while trying to obtain pyarrow include directory:\n${PYARROW_ERROR}")
-endif()
-
-# TODO: Due to cudf's scalar.pyx needing to cimport pylibcudf's scalar.pyx (because there are parts
-# of cudf Cython that need to directly access the c_obj underlying the pylibcudf Scalar) the
-# requirement for arrow headers infects all of cudf. That in turn requires including numpy headers.
-# These requirements will go away once all scalar-related Cython code is removed from cudf.
-foreach(target IN LISTS RAPIDS_CYTHON_CREATED_TARGETS)
-  target_include_directories(${target} PRIVATE "${NumPy_INCLUDE_DIRS}")
-  target_include_directories(${target} PRIVATE "${PYARROW_INCLUDE_DIR}")
-endforeach()
+include(../../../cudf/cmake/Modules/LinkPyarrowHeaders.cmake)
+link_to_pyarrow_headers("${RAPIDS_CYTHON_CREATED_TARGETS}")