Quick Summary
This article walks through Bacancy Technology’s approach to HIPAA compliance in Snowflake, based on our experience working with healthcare data environments. Here is what it covers:
- The key Snowflake HIPAA compliance challenges we encounter, including PHI classification, access control, data sharing, auditability, non-production environments, and regional requirements.
- How we assess existing Snowflake environments and address gaps across data access, protection, data movement, and audit controls.
- What healthcare organizations need to keep in place after implementation as users, datasets, integrations, and workloads change.
Introduction
Healthcare is one of the fastest growing industries, but it is also one of the most heavily regulated. They work with sensitive data like patient records, claims, clinical data, etc., which need to remain protected throughout their service delivery cycle, without disrupting accessibility for analytics, reporting, and operational use.
With its security, access control, masking, auditing, and governance capabilities that can support HIPAA requirements, Snowflake has become a preferred choice as a centralized data platform for healthcare clients. A signed Business Associate Agreement (BAA) and the appropriate Snowflake edition provide the foundation, but getting the implementation right is where many enterprises run into challenges.
The challenge is putting those capabilities into practice and keeping them aligned as the environment changes. PHI gets added to new datasets, schemas evolve, development environments are created, users and roles change, and new data sharing or integration paths are introduced. Controls that were correctly configured at the start start breaking as the platform grows.
Our work focuses on addressing these gaps by applying Snowflake’s capabilities to the way each healthcare organization actually stores, accesses, moves, and governs PHI. We also look at how those controls can be maintained as the environment evolves, so Snowflake HIPAA compliance does not waste unnecessary time and effort for enterprises.
How We Approach HIPAA Compliance in Snowflake for Healthcare Clients
We usually begin with a Snowflake HIPAA compliance assessment before making changes to the client environment. The assessment gives us a view of how PHI is currently handled, where existing controls are working, and where gaps need to be addressed. We review the data architecture, access model, security policies, integrations, regional setup, and audit configuration.
From there, our Snowflake engineers use the findings to define the controls that need to be implemented or adjusted. The exact work varies by environment, but our approach generally covers the following areas.
1. Assess the PHI Boundary and Data Flow
We first start our approach to HIPAA compliance in Snowflake by assessing the source of PHI entering Snowflake, where it gets stored, how it moves within the environment, and where it can leave the platform. We review source systems, databases, schemas, production and non-production environments, external stages, data shares, and other connected destinations.
We also look at cross-region replication and other data movement paths where applicable. This helps us establish the actual PHI boundary and identify places where sensitive data may be exposed outside the controls already applied to the core Snowflake environment.
2. Review Data Classification and Access Controls
After understanding where the data is coming from, we assess how it is currently classified and how access is assigned around it. This includes reviewing Snowflake tags, roles, grants, masking policies, and row-access policies to determine whether they match the client’s data classification and user responsibilities.
Where gaps exist, we establish or refine the classification and access model in Snowflake. The aim is to make protection policies consistent with the sensitivity of the data and the work each user or team needs to perform.
3. Review Network and Data Egress Controls
We also review how users and applications connect to Snowflake and how data can move outside the platform. We review network policies, private connectivity, external stages, unload paths, and external data-sharing configurations.
Based on this understanding of the architecture, we then apply the controls needed to restrict unnecessary access and data movement. For external sharing, we consider using Snowflake Secure Data Sharing or Reader Accounts, with masking and other data protection policies applied where required.
4. Build Auditability Into the Snowflake Environment
We do not treat audit evidence as something to collect when an auditor asks for it. During the implementation, we review how the environment records access and security activity and whether that information can support an actual compliance review.
We configure and use capabilities such as ACCESS_HISTORY, LOGIN_HISTORY, query activity, and permission-change records based on what the client needs to monitor. We also define the queries and retention approach required to turn that activity into usable evidence.
5. Validate the Controls Before Handover
After implementing the required controls, we test the updated Snowflake environment using different user personas and access scenarios. We verify that users can access the data required for their roles, sensitive fields are protected as expected, and row-access policies restrict data correctly.
We also check non-production environments, data movement paths, and the implemented policies and documentation. Before handover, we make sure the client has a documented and tested Snowflake environment, along with the evidence and procedures needed to maintain those controls as the environment changes.
Top 5 Snowflake HIPAA Compliance Challenges and How We Solve Them
Here are the key Snowflake HIPAA compliance challenges we have seen healthcare organizations face, from PHI access and classification to data sharing, auditability, and regional data controls, and how we helped them manage these challenges effectively.
Challenge 1: Treating a BAA as the Complete Compliance Setup
Signing a Business Associate Agreement with Snowflake establishes the contractual foundation for handling PHI, but it does not configure the customer’s environment for HIPAA requirements. The responsibility for defining who can access PHI, how that access is controlled, how sensitive fields get protected, and how activity will be monitored remains with the healthcare organization.
In a US hospital network engagement, the Snowflake environment contained sensitive healthcare data that needed different levels of access across users and teams. A common requirement was to let teams work with the data they needed without giving every user unrestricted access to patient information. They had signed the BAA but still faced Snowflake compliance gaps.
The Solution: Extend the BAA With Technical PHI Controls
We implemented the required security controls within Snowflake, including role-based access controls and masking policies for sensitive healthcare data. Permissions were assigned according to user responsibilities, while sensitive fields were protected based on the level of access granted to each role.
This moved the environment beyond the contractual BAA requirement and established technical controls for protecting PHI in day-to-day data access. Authorized teams could continue working with the data they needed while access to sensitive information remained restricted.
Challenge 2: Sensitive Healthcare Data Was Not Consistently Classified
Healthcare data is usually distributed across multiple systems and does not always arrive in Snowflake with a clear indication of what needs to be protected. Patient information may be present in EHR data, claims, laboratory records, or supporting datasets, with different schemas and naming conventions across sources. Without consistent classification, it becomes difficult to apply the right protection policies as new datasets enter the platform.
For a recent client, a US based digital healthcare services provider that handled EHR, claims, and laboratory data, the requirement was to maintain the business context of these datasets while controlling access to sensitive information across the Snowflake environment.
The Solution: Apply Data Classification and Policy-Based Controls
We used object tagging and classification to identify sensitive data on Snowflake and connect those classifications with the appropriate access and protection policies. This allowed us to apply security controls on the basis of the type of data rather than depending on individual tables and columns being configured manually.
This made it easier to maintain consistent controls as the client’s environment expanded and gave the team a more structured way to identify sensitive healthcare data across the Snowflake estate.
Challenge 3: Different Users Needed Different Views of the Same Data
A healthcare organization may have data analysts, clinical teams, administrators, and other users working with the same datasets. Giving all of them the same level of visibility can expose information that is not even of use for their responsibilities.
With a US-based pharma client, their users needed access to shared healthcare datasets while sensitive fields had to remain protected according to their roles.
The Solution: Combine RBAC, Masking, and Row-Level Access
We combined Snowflake role-based access controls with masking policies and row-access policies for the pharma client. Roles determined what their users could access, masking controlled the visibility of sensitive fields for others, and row-level policies restricted which records could be returned to particular users or groups.
This provided more specific control over the same Snowflake datasets without requiring separate copies of the data for different teams. Only authorized users could work with the information required for their responsibilities while restricted data remained protected.
Challenge 4: Maintaining Control Over Healthcare Data Shared With External Parties
Healthcare organizations often need to share PHI and other sensitive data with providers, partners, vendors, and other authorized parties. We have seen this become a common concern across our healthcare clients because external sharing introduces another point where data can be copied, redistributed, or accessed beyond its intended purpose.
The challenge becomes greater when sharing requires data to be replicated or exported into another environment. Each additional copy creates another place where PHI needs to be protected, monitored, and eventually removed. Without a controlled sharing model, it can become difficult to maintain consistent governance throughout the data sharing lifecycle.
The Solution: Use Snowflake Secure Data Sharing
We use Snowflake Secure Data Sharing to provide external parties with access to the required data without manually creating separate copies for each recipient. Where sensitive information needs additional protection, masking and row-access policies are applied before the data is made available for sharing.
This keeps the sharing process within the client’s existing Snowflake governance model and reduces the number of copies that need to be managed and protected. It also gives the client greater control over how sensitive healthcare data is exposed to external parties.
Challenge 5: Maintaining HIPAA Compliance in Snowflake Across Multiple Regions
Many healthcare organizations operate across multiple regions, either within the same country or internationally. This means PHI may be stored in one region, replicated to another, or accessed by teams working from different locations. For Snowflake environments spread across regions, we need to account for data residency, replication, regional access, and the security policies applied to each environment.
We have worked with healthcare clients where the same data platform supported teams and workloads across multiple locations. The requirement was to keep PHI within the appropriate regions while maintaining the same security and governance controls across the Snowflake environment.
The Solution: Define Where PHI Can Be Stored and Moved
We review the clients’ regional Snowflake setups, including account locations, replication paths, user access, and data movement between regions. We then define which data could be replicated, where it could be stored, and which users and workloads could access it in each region.
This helped the client maintain regional data requirements without creating gaps in the controls applied to PHI across different Snowflake environments.
Need Help With Snowflake HIPAA Compliance?
Whether you’re dealing with PHI access, data classification, secure data sharing, regional requirements, or another HIPAA compliance concern, our Snowflake consultants can assess your environment and help implement the controls required for your healthcare workloads.
How to Maintain Snowflake HIPAA Compliance as the Environment Grows
With time, healthcare organizations grow in size, so do their teams and the amount of healthcare data they collect. New users are added, access requirements change, and new systems and integrations become part of the Snowflake environment. HIPAA requirements can also change over time.
So, the controls and methods used to maintain HIPAA compliance in Snowflake need to be reviewed and updated as the environment grows. This includes access controls, data classification, data sharing, audit records, non-production environments, and other areas that can affect how PHI is handled.
1. Review Snowflake Access as Users and Roles Change
Access requirements can change when responsibilities shift, new teams are added, or users no longer need access to certain healthcare data. In Snowflake, this means reviewing roles, grants, masking policies, and row-access policies to make sure they still match the access each user or team requires.
As these changes are made, existing permissions should also be checked for access that is no longer required. This helps prevent temporary or outdated permissions from remaining active in the Snowflake environment.
2. Revisit Data Classification as New Data Arrives
New healthcare datasets can introduce sensitive fields that were not present when the original Snowflake environment was designed. Schema changes, new source systems, and changes in how data is used can also affect existing classification and protection policies.
So, healthcare teams should review new datasets and columns as they are introduced in their Snowflake environment, and make sure the appropriate tags and protection policies are applied.
3. Monitor Data Movement and External Sharing
As healthcare workloads evolve, PHI moves between Snowflake databases and accounts through replication, exports, external stages, integrations, and Secure Data Sharing. Changes to these data flows can affect where PHI is stored and which environments or external parties can access it.
When new sharing or data movement requirements are introduced, we review the relevant Snowflake configurations, including replication and sharing arrangements, external stages, and the policies applied to the data. We suggest that external recipients should also be reviewed to confirm that they still require the shared data and that sensitive information is protected appropriately.
4 Keep Audit Evidence Usable
Audit records need to remain available and useful for access reviews and compliance activities. It is important to retain the required activity records and maintain the queries or reporting used to review them.
As the Snowflake environment changes, audit requirements should be reviewed as well. New accounts, roles, datasets, and integrations may require additional monitoring to keep the audit trail complete.
5. Revalidate Controls After Significant Changes
Major changes to the Snowflake environment should trigger a review of the controls around PHI. This can include introducing a new data source, moving workloads between regions, changing access models, adding external integrations, or creating new non-production environments.
The objective is to make sure the data security and compliance controls continue to match the actual architecture rather than depending on the configuration that was originally implemented.
Conclusion
Working with healthcare organizations on HIPAA compliance in Snowflake has shown us that the work goes beyond configuring individual security features. It starts with understanding how PHI is handled, identifying what needs to change, and putting the right approach in place for the organization’s data, users, and workloads.
From there, the same setup needs to keep up with the environment. New datasets, users, integrations, sharing requirements, and workloads can change how PHI is handled in Snowflake and how the existing setup needs to be managed.
If you’re a healthcare CTO looking at a similar Snowflake HIPAA compliance project, a few things are worth keeping in mind:
- Start by understanding how PHI is stored, accessed, and shared in your Snowflake environment before deciding what needs to change.
- The right security approach depends on the data, users, workloads, and architecture involved. Every healthcare environment has its own requirements.
- Snowflake compliance work covers more than access controls. Data classification, sharing, auditability, regional requirements, and non-production environments also need to be considered.
- Once the initial work is complete, changes to the Snowflake environment should be reflected in how PHI is classified, accessed, shared, and monitored.
That is how we approach Snowflake HIPAA compliance at Bacancy Technology, a trusted HIPAA compliance service provider. We understand the healthcare environment, address the areas that need attention, and make sure the setup continues to match how the organization uses its data.
Frequently Asked Questions (FAQs)
Snowflake requires a Business Critical Edition or higher for workloads involving PHI under its HIPAA requirements. A signed Business Associate Agreement with Snowflake must also be in place before PHI is stored in the account.
The BAA establishes the contractual responsibilities for handling PHI between the organization and Snowflake. It does not configure the customer’s Snowflake environment. The organization remains responsible for implementing and maintaining the appropriate access controls, data protection policies, network configuration, and other safeguards for its workloads.
Yes, but the receiving account and sharing arrangement need to meet the applicable HIPAA requirements. Snowflake applies restrictions to prevent HIPAA accounts from sharing directly with non-HIPAA accounts by default. Where PHI is shared, the parties also need to address their BAA requirements.
The starting point is to assess how PHI is currently classified, accessed, shared, and monitored across the existing Snowflake environment. The review should cover roles and permissions, masking and row-access policies, data movement, non-production environments, regional configurations, integrations, and audit records. From there, the organization can address the gaps that apply to its specific workloads rather than redesigning the entire environment.
