Snowflake Consulting
Snowflake Consulting Services
We help UK enterprises design, build, optimise, and govern Snowflake data platforms — reducing costs, improving query performance, and preparing your data warehouse for AI and advanced analytics workloads.
Why organisations need Snowflake consulting
Snowflake is one of the most powerful cloud data platforms available, but its flexibility is also its risk. Without proper architecture, governance, and cost management, Snowflake environments quickly become expensive, poorly structured, and difficult to maintain.
We work with organisations that have already adopted Snowflake but are facing challenges with growing costs, performance issues, or governance gaps. We also help organisations migrating to Snowflake from legacy platforms like SQL Server, Oracle, or Redshift — ensuring the migration delivers genuine architectural improvement rather than simply replicating old patterns in a new environment.
Our consulting engagements are engineering-led, not slide-deck-driven. We design, build, and optimise Snowflake environments with a focus on long-term maintainability, cost control, and scalability. Every recommendation is grounded in real-world production experience with enterprise Snowflake deployments.
What we deliver
Snowflake Architecture Design
We design multi-cluster warehouse strategies, implement data mesh and domain-oriented ownership patterns, and establish governance frameworks that scale with your organisation. This includes database structure, schema design, role hierarchy, and access patterns optimised for your specific workloads.
Migration & Implementation
We migrate legacy data platforms (SQL Server, Oracle, Redshift, on-premises warehouses) to Snowflake with zero data loss and minimal downtime. Our migrations include schema redesign for Snowflake best practices, historical data loading, ETL/ELT pipeline rebuild, and validation testing.
Cost Optimisation & Governance
We audit your Snowflake environment to identify waste — over-sized warehouses, inefficient queries, missing auto-suspend, duplicate processing. We implement resource monitors, warehouse governance policies, and query optimisation strategies that typically reduce spend by 30–50%.
Performance Tuning
We profile slow queries, implement clustering strategies, design materialised views, optimise data loading patterns, and restructure pipelines for maximum throughput. Our goal is sub-second analytics for operational workloads and efficient batch processing for ETL.
Our Snowflake expertise
We have deep, production-tested experience across the entire Snowflake ecosystem. Our engineers work with these capabilities daily in enterprise environments — not as certifications on a CV, but as tools used to solve real problems.
Example engagement
Snowflake Cost Optimisation — Enterprise Logistics Company
Snowflake + dbt + Terraform
A large logistics organisation was experiencing Snowflake costs growing 30% quarter-on-quarter with no corresponding increase in data volume or user activity. Their engineering team lacked visibility into what was driving costs and had no governance framework in place.
Challenges
- — Snowflake credit consumption growing 30% QoQ
- — No warehouse governance or sizing strategy
- — Over-provisioned compute across all environments
- — Ad-hoc queries running on production warehouses
- — No resource monitors or alerting
Outcomes delivered
- ✓ £180k annual spend reduction
- ✓ Resource governance framework with automated alerts
- ✓ Auto-scaling architecture for variable workloads
- ✓ Separated warehouse strategy (ETL, reporting, ad-hoc)
- ✓ Query optimisation reducing average execution time by 65%
How we work
Every Snowflake engagement starts with a technical assessment. We review your current architecture, warehouse configuration, query patterns, cost structure, and governance posture. This gives us a clear picture of where the problems are and where the highest-value improvements can be made.
From there, we deliver a prioritised action plan — not a generic report, but specific engineering recommendations with estimated impact and implementation effort. For organisations that want us to implement the changes, we move directly into engineering delivery.
We typically work in 2–4 week sprints, delivering working improvements incrementally rather than as a single large release. This means you start seeing cost savings and performance improvements within weeks, not months.
Ready to optimise your Snowflake environment?
Book a free technical discovery call to discuss your Snowflake challenges.
Book a Discovery CallFrequently Asked Questions
How do you reduce Snowflake costs?
We audit warehouse sizing, query efficiency, auto-suspend configuration, storage policies, and resource monitor setup. Common quick wins include right-sizing warehouses, implementing aggressive auto-suspend, consolidating duplicate processing, and adding resource monitors with credit limits. Typical savings are 30–50% of current spend.
Can you help migrate from Redshift or SQL Server to Snowflake?
Yes. We handle end-to-end migrations including schema redesign for Snowflake best practices, historical data migration, pipeline rebuild (typically using dbt), user access migration, and comprehensive validation testing. We ensure zero data loss and minimal disruption to downstream consumers.
Do you work with dbt and Snowflake together?
dbt is our primary transformation tool for Snowflake environments. We design dbt projects with proper modular structure, testing frameworks, documentation, and CI/CD pipelines. We also optimise existing dbt projects that have become slow or difficult to maintain.
How long does a Snowflake optimisation engagement take?
A cost and performance assessment typically takes 1–2 weeks. Implementation of optimisation recommendations is usually 2–4 weeks depending on scope. Most organisations see measurable cost reduction within the first month.
Can you help with Snowflake governance and security?
Yes. We implement role-based access control hierarchies, row access policies, dynamic masking, data classification, and audit logging. We design governance frameworks that balance security with usability — preventing over-restrictive policies that block legitimate data access.
Do you offer ongoing Snowflake support?
Yes. We offer retainer-based support for organisations that need ongoing Snowflake optimisation, monitoring, and engineering capacity. This includes quarterly cost reviews, performance monitoring, and on-demand engineering support.