How a $45B FMCG leader regained control of their Snowflake platform with Snowstack

Companies that fail to master their data platforms in 2025 will not just fall behind. They will become irrelevant as AI-native competitors rewrite the rules of the market. One global FMCG manufacturer recognized this early on. By partnering with us, they turned their underperforming Snowflake environment into an innovation engine.

Key outcomes:

• 30% reduction in Snowflake costs through intelligent optimization
• 60% faster incident resolution with 24/7 monitoring
• 5+ new AI/BI use cases unlocked from reliable, curated datasets
• 100% audit readiness for SOC 2 and GDPR frameworks

‍Having a dedicated Snowflake team that truly understands our platform made all the difference. We no longer chase incidents or firefight pipeline issues - we’re focused on enabling the business. Their ownership, responsiveness, and expertise elevated our data platform from a bottleneck to a strategic asset.                                               - Senior Director, Data Platforms


Client overview

The client is a multinational Fast-Moving Consumer Goods (FMCG) manufacturer operating in over 180 countries through both corporate offices and an extensive franchise network. With global revenues exceeding $45 billion and more than 6,300 employees worldwide, they manage a diverse product portfolio distributed through complex regional supply chains.

The challenge

Despite investing in modern cloud infrastructure, the client was stuck. Their internal teams lacked the specialized expertise needed to run the platform. When key engineers left, so did the expertise. This resulted in growing technical debt. Critical pipelines regularly failed or ran late. Compliance and audit demands became difficult to satisfy due to inconsistent governance. Without proper optimization, Snowflake costs increased. As a result, the platform’s reputation fell from being seen as an innovation enabler to becoming a business blocker.

What made things even harder was the seasonal nature of FMCG operations. Demand for data engineering resources fluctuated throughout the year. Resource needs spiked during busy times and dropped during slow periods. This led to ongoing hiring and retention challenges. Meanwhile, competitors kept moving forward with steady expertise and data strategies.

Our solution

The client wanted a better way to manage their data and prepare for future growth. They asked us to provide a full Snowflake delivery team that could handle the project from start to finish. Instead of hiring separate contractors, they gained a team of Snowflake-certified experts who worked together to deliver the solution quickly.

Our execution

With our support, the client regained platform stability, resolved recurring system issues, and accelerated the delivery of new data solutions. The Snowflake environment became easier to manage, more predictable, and better aligned with business priorities.

Structured collaboration

The client led a phased rollout, supported by bi-weekly service reviews and backlog planning sessions. We worked directly within their workflows (Slack, Teams, Jira) and joined daily stand-ups and steering meetings. To help address long-standing challenges with knowledge retention, we introduced clear RACI ownership and thorough documentation practices.

SLA-Driven Support Model

The engagement featured a service model tailored to the client’s operational needs. Platform support was aligned to business hours, extended hours, or 24/7 coverage depending on requirements. SLAs were defined by incident severity, with guaranteed response and resolution times in place. To give the client real-time visibility and control, we implemented automated monitoring and alerting.

Platform optimisation and future-proofing

The client was committed to building a Snowflake environment that could scale with the business. With our support, they focused on optimising performance, controlling costs, and staying ahead of future demands.

Faster delivery, greater impact

We supported ongoing initiatives by onboarding new data sources, integrating BI tools and APIs, and maintaining platform standards across internal and third-party teams. Automation and reusable pipelines cut source-to-Snowflake integration time from weeks to days.

Continuous improvement and strategic reporting

Monthly platform reports provided clear visibility into KPIs, usage trends, incidents, and optimisation opportunities. This helped the client move from reactive support to a proactive and data-driven platform management.

Governance and security practices

To support regulatory and internal compliance requirements, we implemented platform-wide governance controls. These included RBAC, data masking policies, access audits, and full alignment with SOC 2 and GDPR frameworks.

The results

Strategic value

Owning a data platform is not the goal. Making it work for the business is.

This partnership showed how Team as a Service can turn a complex platform into a strategic asset. By working directly inside the client’s operations, our certified Snowflake experts turned a complex, high-maintenance platform into a scalable foundation for growth.

Now, they are ready to take on AI and advanced analytics, backed by an architecture built to grow with the business.

At Snowstack, we don’t just help companies manage Snowflake. Our model helps enterprises stay ahead in a data environment that keeps changing

Ready to turn your Snowflake platform into a competitive advantage?

Let’s talk about how our team can help you get there

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Project details:

Industry: FMCG

Duration: Ongoing (Support Service)

Engagement Model: Team as a Service

Frequently Used Snowflake Components: Core Snowflake Data Cloud, Snowpipe, Tasks & Streams, Materialized Views, Secure Data Sharing, RBAC & Data Masking, Snowpark, Resource Monitors

Other Tools Integrated: dbt, Fivetran / Airbyte, Power BI / Tableau / Looker, Azure Blob / AWS S3 / GCP Storage, GitHub / GitLab, ServiceNow / Jira, Okta / Azure AD, Great Expectations / Monte Carlo

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