Simplify migrations and integrate your data
Data silos and unreliable insights hold your teams back. Migration should drive growth, not risk. With our Snowflake experts, you get fast, secure migrations and unified data flows that deliver insights up to 80% faster. It is the first step to accurate, governed data: consolidate your sources into Snowflake so there is one place to make the numbers right.
Leave outdated systems behind
Migrating from outdated warehouses or trying to stitch together fragmented systems is not smooth. It’s risky, time-consuming, and often leaves teams dealing with broken pipelines and inconsistent data. We deliver fast, reliable Snowflake migrations and integrate your entire data ecosystem. From ERPs to SaaS tools, our structured approach removes migration risks and creates the unified foundation your AI and analytics initiatives need to succeed.
Proven migration playbooks
Cut risk and downtime with structured discovery, risk assessment and guided execution. Our clients move from legacy warehouses to Snowflake on transparent timelines, gaining insights up to 80% faster with zero disruption to daily operations.
End-to-end system integration
You need confidence that data from ERP, CRM, inventory, and SaaS platforms works together without silos. We unify them in Snowflake to create reliable data flows that ensure accuracy and consistency. With one source of truth, your teams gain clarity and make smarter decisions.
Governance from day one
You need confidence that your migration will deliver reliable, high-quality data from the start. That’s why every project we deliver includes automated validation for accuracy, performance tuning for speed, and governance frameworks that ensure security and compliance from day one.
Why leading teams modernize their data with us
Zero disruption migration
Move to Snowflake without downtime, keeping operations stable and uninterrupted.
Unified data access
Gain a single, consistent view across ERP, CRM, inventory, and SaaS systems, removing silos.
Real-time streaming
Expertly handle ever-changing data sources in Snowflake, including real-time streaming.
Governance built in
Ensure data integrity, meet compliance standards, and protect security from day one.
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
A Snowflake migration is the process of moving data, workloads, and pipelines from legacy databases or warehouses such as Oracle, Teradata, Redshift, or on-prem systems into Snowflake’s cloud data platform. Unlike lift-and-shift approaches, Snowflake migration includes schema redesign, automated validation, and governance.
Our delivery model prioritizes continuity. We stage and validate data pipelines in parallel, ensuring your business runs on existing systems until cut-over is complete. Automated testing, rollback options, and phased deployment eliminate risks.
We’ve successfully completed hundreds of Snowflake migrations, helping companies move their data without disruption. Our team follows clear, proven playbooks that avoid data loss and keep downtime to a minimum.
Yes. Snowflake natively supports structured and semi-structured formats such as JSON, Parquet, and Avro. We set up pipelines that ingest these formats directly into Snowflake tables, eliminating the need for complex pre-processing. This accelerates analytics and reduces engineering overhead.
We optimize Snowflake by enabling warehouse auto suspend, right sizing compute clusters, monitoring query workloads, and evaluating usage patterns after migration. Because storage is inexpensive, we only activate compute once data is migrated and tested, while the old system and Snowflake run in parallel for the minimum possible time. This approach delivers cost savings without sacrificing analytic speed or performance.
Snowflake data integration unifies ERP, CRM, inventory, and SaaS data into a single governed platform. Benefits include eliminating silos, improving reporting speed, enabling consistent metrics, and supporting advanced analytics. Integrated data pipelines reduce manual work, improve trust in dashboards, and create an AI-ready foundation.
By consolidating ERP, CRM, and SaaS data into a governed Snowflake platform, businesses gain an AI-ready data foundation. Clean, consistent, and secure data pipelines power predictive analytics, machine learning, and LLM-driven use cases. Many clients move from fragmented systems to AI pilots within months of migration.
