Sisifo Analytics sets up and manages Snowflake for organizations that need one reliable source of truth for reporting. We bring data from your business systems into Snowflake, shape it into clear models and keep compute spend in check, so finance, sales and operations work from the same numbers. Companies in Latin America, the United States and Europe hire our Miami team, whose engineers are based across Latin America.
Which Snowflake services does Sisifo offer?
Snowflake is easy to start and easy to overspend on. We set it up so it stays fast, organized and affordable as usage grows.
- Account setup: databases, roles and virtual warehouses separated by team and workload, with auto-suspend enabled from the first day.
- Data loading: Snowpipe and scheduled jobs that bring in data from ERPs, CRMs, SaaS tools and files.
- Warehouse migration: legacy and on-premise warehouses rebuilt in Snowflake, keeping years of history.
- Data modeling: documented models that give finance, sales and operations one definition for every metric.
- BI connections: Power BI and other BI tools reading from governed Snowflake tables.
- Snowpark and AI: Python models and AI features that run where the data already lives.
What are the steps of a Snowflake rollout?
We phase the work so current reports keep running until the new warehouse proves it matches.
- Inventory: list your sources, existing reports and the people who use them.
- Foundation: create the account structure, security roles and loading pipelines.
- Parallel run: load history and run old and new reports side by side until totals agree.
- Cutover: switch users to Snowflake and retire the old warehouse.
- Optimization: review credit usage and query performance, and adjust warehouse sizes.
Why do teams pick Sisifo for Snowflake?
Sisifo has completed 50+ projects across more than 10 industries, so we know how finance, sales and operations data should be modeled. Our Miami company pairs 18+ years of combined experience with Power BI partner status for teams that report on Snowflake.
“We worked with Sísifo on the implementation of our company’s Data Warehouse and the development of functional dashboards to support decision-making. The experience was very positive from start to finish. Their team was consistently committed, proactive, and attentive throughout the entire process, closely following up on progress and pending items. They not only successfully implemented the solution within the company, but also taught us the methodology and explained how each stage was carried out.”
Alex Camacho, CTO
Does Snowflake run on Azure, AWS or Google Cloud?
Snowflake runs on all three, and you choose the cloud and region when the account is created. We usually pick the provider where your applications already live to reduce transfer costs. See our Azure, AWS and Google Cloud pages, or compare Snowflake with Databricks.
Frequently asked questions
What does Sisifo set up in a new Snowflake account?
We create the database and schema layout, user roles, virtual warehouses per workload and the first data loads. You also get naming conventions and documentation, so the account stays organized as more teams join.
How do we move from our current data warehouse to Snowflake?
We copy history, rebuild transformations and run both systems in parallel until the reports match. Only then do users switch, so there is no gap in reporting.
What drives Snowflake costs, and how do you keep them down?
Most of the bill comes from virtual warehouse credits. We right-size warehouses, enable auto-suspend, separate heavy jobs from dashboards and add resource monitors that alert before limits are reached.
Should we choose Snowflake or Databricks?
Choose Snowflake when SQL reporting and BI are the priority and you want minimal platform administration. Choose Databricks when large-scale engineering, streaming or machine learning drive the project. Some companies use both, and we can help you decide.
Does Power BI work well with Snowflake?
Yes. Power BI has a native Snowflake connector and supports both import and DirectQuery modes. We pick the mode for each report based on data size and refresh needs.
What should we prepare for the first call?
Book a meeting and bring a list of your main data sources and the reports that matter most. After the call we propose a first phase for your Snowflake project.
Start your Snowflake project with Sisifo
Tell us where your reports come from today and what you want them to show.
