Keep your Snowflake costs under control
Snowflake costs don't have to grow faster than your business. With our FinOps service, your team can cut waste, improve performance, and turn Snowflake into a cost-efficient platform, so your governed, AI-ready platform stays affordable. Cost control is what keeps accuracy and governance sustainable, not the reason to start.
Bring back control to your Snowflake spend
If your Snowflake spend keeps climbing, it is because the platform runs without control. Warehouses stay open too long, queries burn excess compute, and costs rise while your team struggles to explain the bill. That’s where our FinOps experts step in. We identify what's driving Snowflake costs and implement battle-tested strategies that cut your bills by 30-50% while keeping your systems running at full speed.
Take control of your Snowflake bill
No more surprise Snowflake bills you can't explain. We analyze every workload and create clear cost-optimization roadmaps, so you know exactly where money goes and how to cut waste. With full visibility, you stop defending costs and start demonstrating value.
Faster queries, lower bills
Your queries should power decisions, not drive up costs. We uncover the workloads that drain compute and optimise them to run faster on smaller warehouses, cutting spend while boosting performance across your environment.
Real-time monitoring
You should never be surprised by your Snowflake bill. Our monitoring flags runaway spend the moment it starts, suspends warehouses before budgets are drained, and alerts your team instantly. With cost tagging in place, you know exactly which departments drive spend.
Why our FinOps approach works
Fast cost reduction
Cut Snowflake spending by 30-50% through expert warehouse tuning and automated policies.
Cost visibility
See exactly where every Snowflake credit goes with detailed usage analysis and ROI tracking.
Optimised performance
Achieve faster query performance while reducing costs through intelligent optimization techniques.
Cost control
Build long-term financial discipline with ongoing monitoring and strategic guidance.
Our signature Snowflake consulting methodology
No big bang, no black boxes
You never wait months with nothing to show. Instead of one risky launch work is delivered in steady steps you can test and trust.
Progress you can follow
You don’t get vague updates or empty promises. Regular checkpoints, demos, and updates keep you in the loop.
Flexibility when priorities change
Your priorities can change. Our approach adapts without slowing down so new requirements or scope changes never stop delivery.
Commitment you can rely on
You gain a partner, not just a vendor. With solid planning and experienced teams, we keep projects aligned and accountable.
Speed with quality built in
You reach production with no shortcut. We deliver your solution to production quickly with quality and security built in.
Value that drives your business forward
Every step delivers measurable impact. We focus on what reduces cost, speeds up insight, and drives real business growth.
How our Snowflake consulting transforms data operations
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How a global finance leader achieved AI readiness in 90 days with Snowstack
Monthly spend had passed $800K with no clear breakdown of where the money was going. By partnering with us, they gained full visibility and, within 90 days, turned uncontrolled costs into a governed, AI-ready platform built for scale.
$800K in cloud costs every month, and no explanation. For a leading financial services firm, cloud was critical to scaling the business, yet it had become one of the fastest-growing expenses. Monthly spend had passed $800K with no clear breakdown of where the money was going. By partnering with us, they gained full visibility and, within 90 days, turned uncontrolled costs into a governed, AI-ready platform built for scale.
Key outcomes:
- Data ingestion latency reduced by 80%
- AI-readiness achieved in 90 days
- Real-time cost monitoring and automated optimization
- Modern data platform for analytics, ML, and AI use cases
Client overview
Our client is a financial services company generating $500M in annual revenue with a team of 2,500 employees across North America and Europe. In the midst of rapid growth, they were transitioning from legacy systems to a modern cloud data platform built on Snowflake. But they faced rising cloud costs and a fragmented data landscape.
The challenge
Our client had ambitious AI and GenAI goals, but lacked the foundational architecture to support them cost-effectively.
The client knew what Snowflake could deliver but needed the right partner to design, implement, and operationalize a solution that would translate that capability into measurable business value.
Our solution
The client set out to gain full visibility, governance, and scalability in their cloud environment. By partnering with us, they implemented a modern, AI-ready data platform built on Snowflake to address the challenges limiting performance.
Unified data Ingestion with OpenFlow
They consolidated structured and unstructured data from SharePoint, Salesforce, and custom systems into a single ingestion framework, eliminating fragmented pipelines and enabling real-time analytics.
Centralized Metadata and governance with Horizon Catalog
They integrated metadata from BI tools, dbt models, and Iceberg tables into one governed repository, achieving full lineage visibility, consistent KPIs, and stronger compliance controls.
Consistent logic with semantic views
Business rules were embedded directly into the data layer. This made sure that every team worked from the same definitions for analytics and AI training.
Self-service analytics with Cortex AI SQL
Business users can now query governed datasets in natural language, reducing reliance on engineering and accelerating decision-making.
FinOps cost governance
Daily cost visibility, clear ownership tracking, and accurate forecasting were integrated into operations, turning cost control into a proactive practice.
Why it mattered
If you can’t see your cloud costs, you’re losing money. In many enterprises, unused services, duplicate workloads, and unclear cost ownership quietly drain millions each year. Without visibility and governance, budgets overspend, AI projects stall, and growth slows.
Our team provides the insight and control to stop waste, making every cloud dollar accountable and directly tied to business results. So start controlling your cloud spend today.
Book a Snowflake consultation.
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.
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
Enterprise-grade security
Enterprise security controls and governance frameworks built into every Snowflake implementation. Role-based access, data encryption, and audit trails configured from day one.
SOC 2 TYPE II
Certified
HIPAA Certified
What our clients say
FinOps for Snowflake means applying financial discipline to cloud data operations. It combines engineering, finance, and governance to ensure your platform runs efficiently. With FinOps, every workload is tracked, optimized, and tied back to business value.
Most mid-market companies reduce Snowflake spend by 30–50% within the first quarter of adopting FinOps practices. Beyond cost savings, FinOps also improves query speed, governance, and time-to-insight.
Snowflake costs often rise when warehouses stay open too long, queries use more compute than needed, or storage grows unchecked. Without monitoring, these issues add up quickly. We help by identifying the root causes and fixing them before they drain your budget.
FinOps brings visibility and control to your Snowflake spend by identifying cost drivers, right-sizing usage, and implementing proven optimization strategies. The result? You can reduce bills by 30–50% without losing performance and gain clarity on where your budget goes.
Yes. We analyze your entire Snowflake environment including compute waste from oversized warehouses and inefficient queries, plus storage waste from unnecessary data retention, unused tables, and excessive clustering. Our holistic approach optimizes both areas while maintaining data accessibility and performance requirements.
Unlike basic monitoring tools that just show costs after they happen, we provide predictive cost management with automated controls. Our approach combines real-time monitoring, automatic optimization, proactive alerts, and expert analysis to prevent waste before it occurs rather than just reporting on it afterwards.
Most clients see immediate cost reductions within 2-3 weeks of implementation. Initial quick wins include warehouse auto-suspend, query timeouts, and eliminating obvious waste.
The best way to begin with Snowflake FinOps is through a Snowstack FinOps Audit. This focused 2–3 week assessment gives you a clear picture of your Snowflake environment. Our team reviews warehouse usage, query patterns, cost allocation, and governance setup to identify inefficiencies and savings opportunities. The outcome is a concise report showing where you can cut costs immediately, how to right-size workloads, and what steps to take for long-term control and AI-ready data foundations.
