6 steps to your data success
Traditional methods slow enterprises down. That’s why we created the Summit Quest Framework. In only 3 months, we take Snowflake projects from idea to production with a clear plan that keeps everyone moving together.
Base camp setup
Every journey begins at base camp. Together we define goals, agree on scope, and set clear measures of success. Before the sled moves, everyone knows the destination, the milestones along the way, and the value that will be delivered at the finish line.

Expedition preparation
With the route agreed, we harness the pack and load the sled. Snowstack assembles the right team for you, setting timelines and confirming roles. Your journey begins with a clear plan and transparency.

Acclimatization loop
Before taking on the full trail, we complete a short warm-up loop to confirm that the agreed approach is workable. You gain the assurance that the sled, the route, and the team are ready for the longer journey, with no hidden surprises waiting down the line.

Trail execution
The team advances in episodes where work is delivered without pause. Each episode produces results and drives the sled closer to its goal. Progress is reviewed at campfires, where the team gather to assess achievements, refine the sled, and confirm the course ahead.







Full visibility, every step
Our proven delivery framework eliminates project uncertainty. Get from legacy systems to production in even just 3 months, with clear milestones and transparent progress tracking throughout.

Enterprise-grade quality
Get Snowflake-certified architects and SOC2-ready governance from day one. Our senior Snowflake experts deliver enterprise-grade security and performance without cutting corners.
Clear costs without the overhead
Pay for results, not bureaucracy. Our right-sized delivery model gives you senior Snowflake expertise and structured processes without the cost and complexity of hiring, training, and managing an in-house data team.
Designed to move fast
Whether you’re building a modern data warehouse, governed data sharing, or AI-driven use cases - our Snowflake-native accelerators eliminate months of development while embedding enterprise-grade practices.
Ingestion templates
For batch, API, and streaming data sources with error handling and monitoring, built using Airflow, AWS Glue, or Snowflake OpenFlow.
Enable AI with your data
Cortex Agents and Snowflake Intelligence applied to your data using semantic models defined by the business.
Snowpark starter kits
Python-based ML and data engineering frameworks with optimized performance patterns for Snowflake compute.
Cost guardrails
To keep usage optimized and transparent with automated alerts and warehouse scaling rules.
CI/CD deployment frameworks
For repeatable, secure platform rollouts with GitOps workflows and automated testing pipelines.
Data product blueprints
Accelerates domain-aligned architecture and business adoption with built-in governance and access controls, built using dbt.