{"id":71262,"date":"2026-10-29T14:17:36","date_gmt":"2026-10-29T13:17:36","guid":{"rendered":"https:\/\/www.inovex.de\/?p=71262"},"modified":"2026-10-29T14:18:05","modified_gmt":"2026-10-29T13:18:05","slug":"snowform-efficient-snowflake-management-with-terraform","status":"publish","type":"post","link":"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/","title":{"rendered":"SnowForm: Efficient Snowflake Management with Terraform"},"content":{"rendered":"<p>Snowflake has established itself as the industry standard for data solutions, extending far beyond pure data warehousing and use as a data lake. Snowpark, in particular, opens up opportunities to leverage the Python-based ecosystem for machine learning applications within the Snowflake platform and to rapidly bring even complex data science use cases to production. At the same time, Snowflake manages much of the required infrastructure behind the scenes, which is why teams of application developers can operate without extensive knowledge or skills in cloud engineering.<\/p>\n<p>This fundamental flexibility regarding features, combined with the reduced workload for account administration, makes it possible to provide small- to medium-sized teams with their own accounts so they can tailor specific applications to their individual needs.<\/p>\n<p>When such an approach is adopted within a company, a number of recurring challenges arise that affect all accounts operated in this manner.<!--more--><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_88 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\"><\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Basic-Infrastructure-Database-Structures\" >Basic Infrastructure, Database Structures<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Permissions-and-Role-Management\" >Permissions and Role Management<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Permissions-Model\" >Permissions Model<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Organizing-Shares\" >Organizing Shares<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Practical-Use-Cases\" >Practical Use Cases<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#AI-Powered-Product-Matching\" >AI-Powered Product Matching<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Data-Quality-Platform-for-Master-Data\" >Data Quality Platform for Master Data<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Supply-Chain-Optimization\" >Supply Chain Optimization<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.inovex.de\/en\/blog\/snowform-efficient-snowflake-management-with-terraform\/#Conclusion-and-Outlook-The-Path-to-a-Self-Service-Platform\" >Conclusion and Outlook: The Path to a Self-Service Platform<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Basic-Infrastructure-Database-Structures\"><\/span>Basic Infrastructure, Database Structures<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>First, it makes sense to establish organization-wide security standards to ensure that the company-wide Snowflake ecosystem is not exposed to security vulnerabilities. A corresponding security strategy can generally include rules regarding users, such as management via AAD\/EntraID, synchronization with IAM systems, multi-factor authentication, standards for technical users, and so on.<\/p>\n<p>As a fundamental tool for managing structures within the respective Snowflake accounts, Terraform (or OpenTofu) has established itself as the dominant tool in the Infrastructure as Code (IaC) space. Its configuration files provide a declarative method for managing and deploying cloud infrastructure, including specific Snowflake objects and integrations with external hyperscaler resources (such as S3\/GS buckets).<\/p>\n<p>A sustainable account architecture includes a division into different development environments (e.g., DEV, STAGING, and PROD) and a star schema, each with its own layers for data preparation and enrichment (e.g., RAW, PROCESSED, EXPORT, and ARTIFACTS).<\/p>\n<div>\n<h2><span class=\"ez-toc-section\" id=\"Permissions-and-Role-Management\"><\/span>Permissions and Role Management<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<h3><span class=\"ez-toc-section\" id=\"Permissions-Model\"><\/span>Permissions Model<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>To establish the principles of least privilege and need-to-know across the board, granular permissions and data management are required for all these environments, whereby consistent structures should be created across all accounts (e.g., READ, READ &amp; WRITE, and FULL permissions for individual databases).<\/p>\n<p>Such permissions are granted in a transparent and straightforward manner via an Identity &amp; Access Management (IAM) system coupled with a Role-Based Access Control (RBAC) mechanism. IAM-managed users can thus be assigned individual RBAC roles (e.g., Consumer &amp; Developer). These roles are then granted the corresponding privileges in Snowflake. Combined, this could result, for example, in a role for an application developer in the STAGING environment who requires read and write access to database objects across all layers. For a business reporting use case, on the other hand, read-only access to the PROD data will typically be required.<\/p>\n<p>To distribute these calculations appropriately, our first step was to develop <a href=\"https:\/\/github.com\/inovex\/snowform_access_roles\/tree\/main\">snowform_access_roles<\/a> as a Terraform module. This module makes it possible to assign privileges to roles in a hierarchical manner, iteratively across the specified layers. This results in centralized permission management that allows for quick adjustments and additions. The module can be easily integrated into a custom Snowflake infrastructure repository:<\/p>\n<\/div>\n<pre class=\"\">module \"access_roles\" \u00a0{\r\n   source = \"https:\/\/github.com\/inovex\/snowform_access_roles\/local\"\r\n   db \u00a0 \u00a0 = snowflake_database.db\r\n   schemas = [\r\n      {\r\n        name = \"YOUR_SCHEMA_1\"\r\n      },\r\n      {\r\n        name = \"YOUR_SCHEMA_2\"\r\n      }\r\n    ]\r\n    depends_on = [\r\n        snowflake_database.db,\r\n        snowflake_schema.your_schema_1,\r\n        snowflake_schema.your_schema_2\r\n    ]\r\n     providers = {\r\n        snowflake.useradmin \u00a0 \u00a0 = snowflake.useradmin\r\n        snowflake.sysadmin\u00a0 \u00a0 \u00a0 = snowflake.sysadmin\r\n        snowflake.securityadmin = snowflake.securityadmin\r\n       }\r\n}<\/pre>\n<p>Schemas can be specified as a list in the configuration. During deployment, Terraform first iterates over the specified configurations and creates a map of all combinable objects:<\/p>\n<pre class=\"\">variable\u00a0 \"schemas\"\u00a0 {\r\n     description = \u201cThe data layers for which the access roles are defined.\u201d\r\n     type = list(object({\r\n        name = string\r\n       }\r\n     )\r\n    )\r\ndefault = [\r\n   {\r\n    name = \"YOUR_SCHEMA_1\"\r\n   },\r\n   {\r\n    name = \"YOUR_SCHEMA_2\"\r\n   }\r\n  ]\r\n ]\r\n}\r\nlocals {\r\n     schema_map = { for schema in var.schemas : schema:name =&gt; schema}\r\n}<\/pre>\n<p>Using a for-loop (for_each), uniform resources are then created for these and assigned to the roles (using a \u201cReader\u201d role as an example here):<\/p>\n<pre class=\"\">resource\u00a0 \"snowflake_account_role\" \u201cr\u201d {\r\n    for_each = local.schema_map\r\n    provider\u00a0 = snowflake.useradmin\r\n    name\u00a0 \u00a0 \u00a0 = \u201c${var.db.name_${each.value.name}_R\u201d\r\n}<\/pre>\n<p>Similarly, the system then iterates through a set of required permissions for each role and assigns them, including permissions for future objects.<\/p>\n<p>Data Sharing<\/p>\n<p>Another key concept in Snowflake data management is designed to make it easy to share data with other accounts. To this end, Snowflake has developed the concepts of listings and data shares. Simply put, shares provide a collection of views for a consumer account, with content identical to the underlying data sources from the provider account, which acts as the data owner.<\/p>\n<p>Particularly in the case of an enterprise-wide architecture consisting of a number of smaller teams with their own accounts and data products, it is desirable to integrate this data into other accounts with minimal effort and in a traceable manner. We enable precisely this integration through the <a href=\"https:\/\/github.com\/inovex\/snowform_import_listings\">snowform_import_listing<\/a> module.<\/p>\n<p>In a two-step process, databases are first created for the respective shares, and the required privileges are then automatically assigned to the previously defined roles. This allows shared data to be easily managed within the consumer accounts. New data sources can be added as variables simply by specifying the name of the share and the new database to be created.<\/p>\n<pre class=\"\">module \"snowflake_shared_databases\" {\r\n     source = \"github.com\/inovex\/snowform_import_listing.git?ref=0.0.2\"\r\n     providers = {\r\n         snowflake.sysadmin = snowflake.sysadmin\r\n        }\r\n     snowflake_shares = [\r\n        {\r\n         database_name = \"IMPORTED_DB_NAME\"\r\n         share_name\u00a0 \u00a0 = \"YOUR_ORG.SOME_ACCOUNT.SHARE_NAME\u201d\r\n        },\r\n      ]\r\n\r\n      account_roles = [\r\n         \"ANALYST_ROLE\",\r\n         \"DATA_ENGINEER_ROLE\",\r\n        ]\r\n  }<\/pre>\n<h3><span class=\"ez-toc-section\" id=\"Organizing-Shares\"><\/span>Organizing Shares<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>A particular challenge arises in this type of architecture, which involves many small accounts and shared data: An increasing number of shared databases makes it difficult for developers and analysts to maintain an overview when they need to search for data across a large number of databases. If the data comes from different providers and is used simultaneously for a common use case, we believe it makes sense to group this data logically. The <a href=\"https:\/\/github.com\/inovex\/snowform_logical_import_layer\">snowform_logical_import_layer<\/a> module enables precisely this logical organization of shared data across consumer accounts. At its core, this module consists of a series of schemas into which the existing shared views are organized, aggregated by business domain:<\/p>\n<pre class=\"\">module \"logical_import_layer\" {\r\n     source\u00a0 = \"github.com\/inovex\/snowform_logical_import_layer.git?ref=1.0.0\"\r\n     # Map source objects to logical layer targets\r\n     source_to_target_mappings = {\r\n          \"X.YOUR_SCHEMA_1.TABLE_V3\" = {\r\n              target_database = \"LOGICAL_PRODUCT_DATA\"\r\n              target_schema \u00a0 = \"PRODUCT_DATA\"\r\n              target_name \u00a0 \u00a0 = \"PRODUCT_MASTER\"\r\n          }\r\n          \"Y.YOUR_SCHEMA_1.TABLE_V1\" = {\r\n              target_database = \"LOGICAL_PRODUCT_DATA\"\r\n              target_schema \u00a0 = \"PRODUCT_DATA\"\r\n              target_name \u00a0 \u00a0 = \"MATERIAL_UNITS\"\r\n           }<\/pre>\n<h2><span class=\"ez-toc-section\" id=\"Practical-Use-Cases\"><\/span>Practical Use Cases<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>We demonstrate the practical benefits of data engineering at dmTECH, a subsidiary of dm-drogerie markt GmbH &amp; Co. KG. As dm\u2019s technology company, dmTECH develops and operates digital products and IT solutions for both dm customers and the teams at dm stores and at dialogicum. In the Enterprise Resource Planning (ERP) environment, autonomous product teams work on a wide variety of use cases and processes. Each team is responsible for its own products and develops tailor-made solutions for the company\u2019s diverse requirements. Across a wide range of business areas, SnowForm enables us to quickly set up the basic infrastructure, allowing us to then focus on developing various use cases until they are ready for production. For implementing business logic\u2014which consists of a mix of ETL and ML processes\u2014a Spark implementation like Snowpark is naturally the ideal choice, offering the well-known advantages of a Python-based ecosystem.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"AI-Powered-Product-Matching\"><\/span>AI-Powered Product Matching<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>We have developed an LLM-based approach for comparing similar but not identical products. For people with domain expertise, it is easy to compare similar products from different manufacturers based solely on product information. For an algorithm, however, selecting the best possible match among several very similar items often involves a high degree of uncertainty. A combination of Snowflake\u2019s Arctic model, an additionally integrated OpenAI model, and a domain-specific set of rules enables us to identify suitable product matches.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Data-Quality-Platform-for-Master-Data\"><\/span>Data Quality Platform for Master Data<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Another use case we are actively working on is a data quality platform for master data. Using a Snowflake account, we integrate all master data from the ERP system and build data products from it that are shared company-wide. At the same time, we are establishing standardized data quality checks and analyses to continuously ensure data quality. Of particular interest is the use of machine learning to detect complex or even unknown data quality issues and to prepare automated corrections for bulk data maintenance.<\/p>\n<h3><span class=\"ez-toc-section\" id=\"Supply-Chain-Optimization\"><\/span>Supply Chain Optimization<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>Another example is a Snowflake account serving as a central hub for analytical use cases focused on optimizing dm\u2019s logistics supply chain. What\u2019s particularly exciting here is that many different teams with a wide variety of needs across the supply chain are supplied with data from this account and also have the ability to work independently on dedicated warehouses using dedicated schemas. Using SQL or Snowpark, a wide range of use cases\u2014from ad hoc analyses to simple automations (e.g., using tasks or external tools) to complex, highly automated processes\u2014are implemented and operated on the account.<\/p>\n<h2><span class=\"ez-toc-section\" id=\"Conclusion-and-Outlook-The-Path-to-a-Self-Service-Platform\"><\/span>Conclusion and Outlook: The Path to a Self-Service Platform<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>An important aspect of all these examples is designing part of our Snowflake account as a self-service platform to empower business units to work with data more quickly and directly. With our small teams, implementing all these aspects in parallel within a domain-specific Snowflake account was only possible because we automated and abstracted extensive foundational elements of role management and Snowflake shares using Terraform modules.<\/p>\n<p>An extension we\u2019re already using also allows us to integrate data from outside the Snowflake context. Using so-called \u201cexternal stages\u201d\u2014that is, Snowflake objects that point to storage buckets in Azure or GCP\u2014we retrieve data from other domains to use it in our use cases. Since this also involves a list of regularly recurring (Snowflake) resources, it makes sense to modularize these as well in the future.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Snowflake has established itself as the industry standard for data solutions, extending far beyond pure data warehousing and use as a data lake. Snowpark, in particular, opens up opportunities to leverage the Python-based ecosystem for machine learning applications within the Snowflake platform and to rapidly bring even complex data science use cases to production. At [&hellip;]<\/p>\n","protected":false},"author":462,"featured_media":71268,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"ep_exclude_from_search":false,"footnotes":""},"tags":[],"service":[455,1316],"level":[1280],"coauthors":[{"id":462,"display_name":"Max Koeppel","user_nicename":"mkoeppel"}],"class_list":["post-71262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","service-data-engineering-en","service-platform-engineering"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>SnowForm: Efficient Snowflake Management with Terraform - inovex GmbH<\/title>\n<meta name=\"description\" content=\"How dmTECH uses Terraform modules to scale roles, data sharing, and self-service data platforms in Snowflake. 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