We help organizations implement Snowflake Horizon to establish trusted data governance, security, and compliance across analytics and AI workloads
Establish enterprise-grade data governance, security, and compliance across the Snowflake Data Cloud, without slowing analytics or AI innovation.
Snowflake Horizon is Snowflake’s native governance layer, providing built-in capabilities for data access control, monitoring, lineage, quality, and compliance. As organizations scale self-service analytics and AI initiatives, Horizon helps ensure data remains secure, trusted, and auditable.
Atrium helps organizations implement Snowflake Horizon as a governance operating model aligning policies, controls, and processes with modern Snowflake analytics and AI workloads.
Snowflake Horizon is a set of native, out-of-the-box governance capabilities designed to help organizations manage data security, privacy, quality, and compliance across the Snowflake platform. Horizon provides centralized visibility and control over how data is accessed, shared, and used without relying on disconnected third-party governance tools.
By operating directly within Snowflake, Horizon enables organizations to govern data consistently across analytics, data sharing, and AI initiatives while maintaining performance, usability, and scalability.
We help organizations design and operationalize Snowflake Horizon across the full data governance lifecycle.
Define and enforce role-based access, data masking, and secure data sharing policies to protect sensitive data.
We help organizations implement scalable access models that balance security with self-service analytics.
Establish consistent governance policies for data ownership, classification, and usage across Snowflake environments.
We help organizations translate governance requirements into practical, enforceable Snowflake controls.
Provide visibility into how data moves, transforms, and is consumed across analytics and AI workflows.
We help teams use lineage to support impact analysis, audit readiness, and trust.
Implement monitoring and validation practices to ensure data accuracy, completeness, and reliability.
We help organizations operationalize data quality as a core component of analytics and AI adoption.
We enable organizations to turn Snowflake Horizon into an enabler of analytics and AI, not a bottleneck.
Governance Strategy & Operating Model
Define a data governance strategy that aligns to business processes from data products to contracts supporting analytics, self-service, and AI initiatives.
Snowflake-Native Governance Design
Implement Horizon using Snowflake-native capabilities as a part of a strong data governance strategy.
AI Governance Alignment
Ensure Cortex AI and Snowflake Intelligence operate within clear governance and compliance guardrails.
Enterprise & Regulated Industry Readiness
Design governance frameworks that meet regulatory needs without sacrificing speed or flexibility.
Adoption & Change Enablement
Help teams understand and adopt governance practices that scale with the organization.
Our team brings a pragmatic, AI-native approach to Snowflake governance. We understand that governance must evolve alongside analytics and AI—and that overly rigid controls can slow innovation.
Our teams combine deep Snowflake expertise with experience supporting enterprise and regulated environments, helping organizations use Snowflake Horizon to build trust, transparency, and accountability across their data platforms.
