Blazing fast implementation, backed by 74+ martech, data and growth stacks*
Snowflake consulting for marketing, product and revenue data
We set up Snowflake with roles and cost controls, load your marketing, product, CRM and billing data with Fivetran or Airbyte, model it with dbt and send it back to your tools, so every team and every AI agent works from the same numbers.
Snowflake consultants who set up the account, load and model your data, and check every number against its source, so the warehouse becomes the place your teams trust.
Account, roles and security
Databases, warehouses and roles set up with least-privilege access, key-pair authentication for every service and network rules where you need them.
Cost controls
Warehouses sized per workload, auto-suspend, resource monitors and budgets, so credits match what you planned. See Snowflake pricing.
Pipelines from your tools
Ads, GA4, CRM, billing, support and product data loaded with Fivetran, Airbyte or Snowflake's own connectors, as fresh as your reports need.
dbt models
Raw data turned into clean customer, account, campaign and revenue tables with dbt, tested and documented. See data warehouse design.
Activation and reverse ETL
Audiences and traits sent from Snowflake to your CRM, messaging and ad tools with Hightouch or Census.
Dashboards and data checks
Reports in Metabase, Tableau or Data Studio on tested models, plus freshness and volume checks that alert someone when data stops.
Ask Snowflake anything, with answers you can check
With Snowflake connected to Claude over MCP, your team asks about revenue, retention and campaigns in plain English, AI writes the SQL against your modelled tables, and agents watch freshness and cost.
“What was net revenue retention by plan for customers who joined in the first half of this year?”
Queries Snowflake over MCP
“Which paid campaigns brought customers with the highest 90-day revenue?”
Joins ad spend and revenue models in Snowflake
“Which queries used the most credits last week, and who ran them?”
Reads Snowflake usage views
What was net revenue retention by plan for customers who joined in the first half of this year?. Queries Snowflake over MCP.
Which paid campaigns brought customers with the highest 90-day revenue?. Joins ad spend and revenue models in Snowflake.
Which queries used the most credits last week, and who ran them?. Reads Snowflake usage views.
Snowflake with MCP
Snowflake connected to Claude, ChatGPT or Claude Code through Snowflake's MCP server, under a read-only role you control.
A semantic layer AI can read
Metrics and joins defined once in dbt or Snowflake semantic views, so AI answers use your definitions. See semantic layers for AI.
Cortex where it helps
Snowflake Cortex functions for classifying, summarizing and searching your own data, set up where they earn their cost. See Snowflake AI.
Freshness and cost alerts
Agents that flag a stale table or a jump in credits the same day, with the query or pipeline behind it.
With every implementation
Yours after handover
The MCP access, the agents and the docs live in your own accounts. Your team runs it all with AI, without depending on us.
No retainer needed
A one-time setup at a fixed price. There is no monthly retainer to keep it running, so your costs go down over time.
Right from day one
Anyone can set up a tool with AI, but it's only as good as what the AI guesses. We know what works from 74+ implementations.
Free martech AI agent
Every implementation includes it: slash commands and skills that run your whole stack in Claude Code.
Most teams come to us at one of four points, and the scope is written for yours before any work starts.
Not the right fit for large data platform programs with data science teams, streaming at scale or many business units. We focus on marketing, product and revenue data for growing companies.
A first warehouse
Reporting outgrew spreadsheets and tool dashboards, and you want one place for marketing, product and revenue data. See do you need a data warehouse.
A Snowflake account that drifted
Roles nobody understands, tables nobody trusts and a bill that keeps growing. We audit, clean up and document it. See Snowflake implementation mistakes.
Moving from BigQuery, Redshift or Postgres
Tables, pipelines and reports moved with counts checked at every step, priced as a custom plan.
Data for AI agents
You want Claude or your own agents answering from warehouse data, with access you can audit. See AI-ready data.
Snowflake with the rest of your stack
Snowflake sits in the middle of the stack. We connect what flows in, what models it and what flows out, so every step can be checked.
Metabase, Tableau or Data Studio on top of the models, with one definition for every metric.
What's not included
So the fixed price covers exactly what we build, and nothing comes as a surprise later.
Snowflake credits
Compute, storage and AI usage are billed to you by Snowflake. We set budgets and monitors so the bill matches the plan.
Connector and BI licences
Fivetran, Hightouch, Tableau and other tools are billed by their vendors. We help you pick plans that fit your volume.
Data science projects
We build the data foundation and the reports on it. Forecasting or machine learning projects are scoped separately.
Sound familiar?
Every team pulls its own numbers.
From different tools, with different answers.
The Snowflake bill keeps surprising you.
Warehouses left running, queries nobody owns.
Pipelines break quietly.
And dashboards show last week's data for days.
The data never leaves the warehouse.
Sales and marketing tools can't see it.
We set Snowflake up with roles, cost controls and tested pipelines, model the data into tables everyone agrees on, and send it back to the tools your teams use, so the warehouse earns its cost.
A free call on your data and reporting, or the $99 audit for a written review of your warehouse, pipelines and reports.
02
Pick a package
Compare the fixed price packages, then get the detailed scope by email within one business day.
03
Design
Sources, layers, roles, models and the first reports written up for your sign-off before anything is built.
04
Build
Account, pipelines and dbt models set up in your Snowflake account, in a development database first.
05
Test the numbers
Row counts, freshness and key metrics checked against each source, so totals reconcile before any dashboard ships.
06
Hand over
Docs, a data dictionary and a walkthrough, plus your martech AI agent and support after launch.
Don't take our word for it. Hear it from the founders who handed us their stack.
🔇 Click for sound
JB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4
Segment
Google Ads
🔇 Click for sound
Elie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
Mixpanel
Customer.io
GA4
🔇 Click for sound
Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
Mixpanel
Segment
🔇 Click for sound
Gabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
Segment
Mixpanel
🔇 Click for sound
JB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4
Segment
Google Ads
🔇 Click for sound
Elie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
Mixpanel
Customer.io
GA4
🔇 Click for sound
Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
Mixpanel
Segment
🔇 Click for sound
Gabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
Segment
Mixpanel
🔇 Click for sound
JB Jaquenzel
Founder and CEO, Evaboot
“Faizur helped us transfer Google Analytics conversion events to Google Ads via Segment. We set that up within two or three weeks. Now we have a clear vision of our conversions and we could optimize our campaigns like this. Because if your tracking is not on point, you can't really improve your Google Ads performance.”
GA4
Segment
Google Ads
🔇 Click for sound
Elie
CMO, Submagic
“We have worked with Faizur and his agency for the past six months to set up all the growth stack that we needed. All the marketing analytics tools like Mixpanel, Google Analytics, data tracking tool, customer analysis tool like Customer.io, and every kind of tool that we needed. He's always ready to help and super reactive. I highly recommend to work with him.”
Mixpanel
Customer.io
GA4
🔇 Click for sound
Arman Assadi
CEO, Steno.ai
“We worked with Faizur when we wanted to set up Mixpanel. What I loved was how detail-oriented he was, and that he wasn't just there to accomplish that one task. He was able to advise us. He suggested setting up Segment and he thought about everything at a macro level, all the way down to the micro. It gave me confidence to outsource this.”
Mixpanel
Segment
🔇 Click for sound
Gabriel
Operations, MKTV
“We recently had the pleasure of working with Faiz on our integration of Segment. Not only did he help us seamlessly set up the integration, but he also went above and beyond to help us establish dashboards in Mixpanel. What was super valuable was having somebody who understood both the business/marketing requirements but also had the technical expertise to execute them.”
Segment
Mixpanel
Reviews onUpwork
Snowflake consulting at a fixed price
A Snowflake setup with pipelines from your tools and first dashboards comes in Starter: $4,800 (25% off $6,400), live in 4 weeks, or 2 weeks on super fast. dbt models, a CDP and reverse ETL come in Growth: $12,150 (25% off $16,200), live in 12 weeks. Not sure where to start? The $99 audit ends with a fixed price proposal.
Eligible startups get 40% off instead of 25%. Starter comes to $3,840 and Growth to $9,720.
Martech audit
Before you commit to a plan
$99one-off
We review your setup and walk you through the findings on a one-hour specialist call.
The report comes within a day
A proposal at a fixed price
Tracking and tags reviewGA4, Google Tag Manager etc.
Ad conversions reviewGoogle Ads, Meta, LinkedIn etc.
CRM and lifecycle reviewHubSpot, Salesforce, Braze etc.
Warehouse and reporting reviewSnowflake, BigQuery, dbt etc.
A written assessment of where you stand
A one-hour call with a martech specialist
What to fix first, in order
A proposal for the next step, at a fixed price
Starter
Teams of up to about 20 people, under $1M ARR
$4,800one-off
$6,40025% off
Get started with tracking, analytics and a proper data setup.
Live in 4 weeks
30 days of support, up to 10 hours
One tracking plan, named the same in every tool
Web analytics and tagsGA4, Google Tag Manager, Consent Mode etc.
Ad conversion trackingGoogle Ads, Meta, LinkedIn, TikTok etc.
Product analyticsMixpanel, Amplitude, PostHog etc.
Leads and signups in your CRMHubSpot, Salesforce, Attio etc.
Data pipeline into a warehouseFivetran, Airbyte, Snowflake, BigQuery etc.
First dashboardsLooker Studio, Metabase etc.
Your martech AI agentClaude Code skills for your stack
Docs and a handover call
Growth
Companies with $1M to $10M ARR
$12,150one-off
$16,20025% off
The data setup a growing team runs its marketing and reporting on.
Live in 12 weeks
90 days of support, up to 30 hours
Everything in Starter, plus
Server-side trackingserver-side GTM, Meta CAPI, Enhanced Conversions etc.
CRM and marketing automationHubSpot, Salesforce, Intercom etc.
Lifecycle messagingBraze, Customer.io, Klaviyo, CleverTap etc.
Support automationIntercom, Fin, Zendesk etc.
Warehouse models and CDPdbt, Segment, RudderStack etc.
Dashboards and attributionLooker Studio, Metabase, Tableau etc.
Audiences synced to ads and CRMHightouch, Census etc.
Mobile attributionAppsFlyer, Adjust etc.
Outbound and enrichmentClay, Apollo, ZoomInfo etc.
AI on your data over MCPClaude, ChatGPT, Codex etc.
Custom
Over $10M ARR, several markets or an unusual stack
Let's talk
A plan built around your stack, your team and your deadline.
Tool migrationsSalesforce to HubSpot, Braze to Customer.io etc.
Several brands, markets or apps
Custom pipelines and API integrations
Custom AI agents and internal MCP servers
A dedicated team and a named lead
Support and a retainer to suit
Prices in USD for a typical setup. We use the tools that fit your stack, and a bigger or more complex setup can change the price. We agree any change with you before we start.
Starter is $4,800 (25% off $6,400), live in 4 weeks, and Growth is $12,150 (25% off $16,200), live in 12 weeks, at a fixed price with no hourly billing. Eligible startups get 40% off the list price instead. More brands, markets or a migration from another tool make it a custom plan, priced before work starts. Snowflake credits and storage, and any connector licences, are billed by those vendors. See the fixed price packages.
How much does Snowflake itself cost?
Snowflake bills compute in credits, by warehouse size and how long it runs, plus storage and some services. The price of a credit depends on your edition, cloud and region. For a small company the bill is mostly set by how long warehouses stay on, which is what auto-suspend, sizing and resource monitors control. See Snowflake pricing.
How long does a Snowflake implementation take?
Starter goes live in 4 weeks and Growth in 12, or in half the time on super fast. A migration from another warehouse is a custom plan with its own timeline. See Snowflake implementation phases.
What is Snowflake Cortex?
Cortex is Snowflake's set of AI features that run inside your account, such as functions that summarize, classify or translate text, and search over your own data. The data stays in Snowflake. We set it up where it beats doing the same work outside. See Snowflake AI.
Snowflake or BigQuery?
Both work well for a growing company. BigQuery fits teams already on Google Cloud and GA4, with no warehouses to size. Snowflake fits teams that want compute set per workload and easy data sharing. We implement both. See Snowflake vs BigQuery and BigQuery implementation.
Do we need dbt with Snowflake?
For anything beyond loading raw data, yes. dbt turns raw tables into tested, documented models under version control, so a metric means the same thing in every report. See dbt implementation.
Can you migrate us to Snowflake?
Yes, as a custom plan. We move tables, pipelines and reports from BigQuery, Redshift or Postgres, run old and new side by side, and check counts and key metrics before switching over.
Who owns the Snowflake account and the data?
You do. The Snowflake account, the pipelines and the dbt project live in your accounts and your repository. We work through roles you can revoke at any time.
Can we use Snowflake data with Claude or ChatGPT?
Yes. We connect Snowflake over MCP under a read-only role, with your dbt models and metric definitions as context, so answers come from tables you trust. See AI-ready data.
What happens after launch?
Starter includes 30 days of support after handover, up to 10 hours, and Growth 90 days, up to 30 hours. It covers fixes, questions, new sources and small model changes. After that your team runs it with the docs and your martech AI agent, or keeps us on a retainer from $1,980 a month.
Last updated: .
Fixed price packages for your Snowflake setup
A $99 audit or a fixed price package from $4,800, with no hourly billing.
Fix Snowflake OAuth failures across token issuance, user mapping, roles, network and renewal. Includes diagnostic SQL, safe encoding and restart acceptance checks.
Recover from bad Snowflake loads with historical clones, guarded field repairs and reconciliation. Preserve later changes and understand retention, UNDROP and Fail-safe.
Jafrin Akter Alo · Last updated · 14 min read
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We look at what you have, what it is costing you and what to do about it first.