Snowflake is a cloud data platform. Storage and compute are separate, so each team can run its own virtual warehouse on the same data.
Salesforce Select Partner · 15+ years of team experience · Architect-led
Snowflake data engineering designed, loaded, governed and kept within budget.
Our engineers design Snowflake accounts and warehouses, build the pipelines that load them, set up roles and masking, and connect Snowflake to Salesforce Data 360 through zero copy.
See the Data 360 link
- 15+Years of team experience
- 20+Enterprise implementations
- 60 minFree Snowflake data engineering review, with a written plan
- 5.0/5Client satisfaction (CSAT)
Proven Success With
5.0/5 CSAT
New to Snowflake data engineering?
What is Snowflake data engineering?
Data engineering is the work around it: loading data, modeling it into tables people trust, and controlling who sees what.
Compute is billed in credits while warehouses run, so design choices show up on the bill.
When to start
When do teams bring in Snowflake consultants?
Most calls start with one of these.
The bill keeps rising
Warehouses run all day and nobody can say which queries cost the most.
Everyone is ACCOUNTADMIN
Roles grew by accident and personal data is visible to too many people.
Loads break overnight
Scripts and manual uploads fail, and reports show yesterday's gaps.
Data 360 is coming
Salesforce wants customer data that already lives in Snowflake.
Leaving an old warehouse
An on-premises or older cloud warehouse needs to move.
What we do
What do Snowflake consulting services include?
From a first account design to running a platform that many teams use.
Account and warehouse design
01Accounts, databases, schemas and warehouses sized per workload.
Ingestion pipelines
02Snowpipe, Snowpipe Streaming, Openflow and partner connectors.
Data modeling
03Raw, cleaned and reporting layers, often built with dbt.
Governance and security
04Role hierarchy, masking policies, row access policies and tags.
Cost control
05Auto-suspend, warehouse sizing, resource monitors and query review.
Data 360 zero copy
06Data Federation and Data Sharing set up with Salesforce.
Cortex AI
07Cortex AI Functions, Cortex Analyst and Cortex Search on governed data.
Migration to Snowflake
08Tables, SQL and jobs moved in tested steps.
Account design
How should a Snowflake account be set up?
Four layers we agree before the first table is loaded. Changing them later means moving data and permissions.
- Functional roles
- Access roles
- SSO and SCIM
- Service users for pipelines
- Loading
- Transformation
- BI and reporting
- Data science
- Auto-suspend set
- Raw
- Cleaned
- Reporting marts
- Shared data
- Masking policies
- Row access policies
- Object tags
- Time Travel settings
Ingestion
How does data get into Snowflake?
The loading method depends on the source and how fresh the data must be. Each pipeline gets an owner, an alert and a way to replay a failed load.
- 01
Salesforce
CRM objects loaded through a connector, or Data 360 data shared in through zero copy.
- 02
Amazon S3
Files landed in a bucket and loaded by Snowpipe auto-ingest.
- 03
Azure Blob Storage
Files loaded from an external stage by Snowpipe.
- 04
Google Cloud Storage
Files loaded from a stage on Google Cloud.
- 05
PostgreSQL
Application tables replicated with Openflow or a partner tool.
- 06
SQL Server
Legacy warehouse and application data moved and kept in sync.
- 07
Events and APIs
Row-level streams loaded with Snowpipe Streaming.
Snowflake and Data 360
How does zero copy work between Snowflake and Salesforce Data 360?
Salesforce describes Zero Copy with Snowflake as bi-directional: Data Federation brings Snowflake data into Data 360, and Data Sharing makes Data 360 data available in Snowflake. The data stays where it is stored.
Direction: Data in: Snowflake to Data 360
What happens: Data 360 queries Snowflake tables without loading a copy
What we set up: The tables, keys and columns Data 360 maps, and the role it uses
Direction: Data out: Data 360 to Snowflake
What happens: Unified profiles and insights appear in Snowflake as shared data
What we set up: The share, the receiving database and who may query it
Direction: Modeling
What happens: Federated tables still need clean keys and types
What we set up: Views shaped for the Data 360 data model
Direction: Timing
What happens: Federated reads run against Snowflake when Data 360 asks
What we set up: A timed test of the queries segments and agents will run
Direction: Cost
What happens: Queries use Snowflake warehouses and Data 360 credits
What we set up: A dedicated warehouse and monitors for the Data 360 workload
Cost control
Why is our Snowflake bill higher than expected?
Storage and warehouse credits are on the statement. The causes sit in how warehouses and features are used.
On the invoiceOff the invoice
- Warehouse creditsCompute billed while each warehouse runs. (on the invoice)
- StorageTables, stages, Time Travel and Fail-safe data. (on the invoice)
- Idle warehousesAuto-suspend set too long, or never set. (not on the invoice)
- Oversized warehousesA large size picked once and never tested smaller. (not on the invoice)
- Serverless featuresSnowpipe, tasks, dynamic tables and Cortex calls nobody tracks. (not on the invoice)
- Full reloadsWhole tables rebuilt each night where an incremental load would do. (not on the invoice)
- Total cost of ownershipWhat rationalization measures
How it runs
How does a Snowflake engagement run?
Four phases. The written proposal states the scope and milestones before anything starts.
- Phase 1
Assess
Know what you run and what it costs.
- Account, roles and warehouses reviewed
- Query and credit history read
- Sources and owners listed
- Phase 2
Design
Agree the target platform.
- Account and role design
- Layer and naming standards
- Data 360 plan, if in scope
- Phase 3
Build
Load and model the first domain.
- Pipelines with alerts
- Models and tests
- Masking and row access policies
- Phase 4
Run
Your team owns the platform.
- Resource monitors and budgets
- Runbooks and training
- Monthly plan, if you want one
Cost and timing
What it costs and how long it takes
The review is free
A 60-minute architecture review of your Snowflake setup, with a written plan you keep.
A fixed-scope proposal first
Before any work starts you get a written proposal: a fixed-scope project with milestones, or a monthly plan. You approve it, or you do not.
Timing follows scope
How long it takes depends on what is in scope. The proposal states the milestones, so you see the timeline before you commit.
Client stories
Client work we have delivered
Real engagements, described by industry. Each story covers the starting position, what we built and how we delivered it, end to end.
NonprofitContribution Reporting the Board Can Trust for an Environmental NonprofitSalesforce for an Australian environmental nonprofit: 14 reports and KPI dashboards for financial, in-kind and volunteer contributions, and 553 historical records corrected and reimported.Salesforce Platform · Reports and Dashboards · Data Loader · FlowRead the story 
Financial ServicesSelf-Hosted AI Research Infrastructure Behind a Salesforce Deal EngineSelf-hosted AI agent infrastructure for a US private equity advisory firm: n8n workflows, PostgreSQL, web research and Google Drive mandate documents, deployed with Coolify and writing results back to Salesforce.n8n · PostgreSQL · Coolify · FirecrawlRead the story 
Financial ServicesAI Deal Matching That Screens Companies Against Every Investor MandateSales Cloud, Agentforce, Data 360 and Prompt Builder for a US private equity advisory firm: mandates, AI first-pass ranking, deep scoring with rationale, and deals created from approved matches.Sales Cloud · Agentforce · Data 360 · Prompt BuilderRead the story Client reviews
What clients say about working with our architects
See how teams describe working with SynconAI, from first scope to production delivery.
Salesforce Select Partner30+ Salesforce certificationsDelivery from Delaware & Sydney, worldwide
Simply Outstanding
“SynconAI Consulting are Simply the Best in the Business When it comes to Salesforce implementation and AI-powered solutions, SynconAI are in a league of their own. Their expertise, dedication, and ability to deliver results that truly move the needle sets them apart from every other consulting partner we've worked with. What they achieved with our Sales Cloud, Service Cloud, and custom Agentforce agent has completely transformed how we operate streamlining our pipelines and our customer service, and automating tasks that used to consume hours of our team's time. They don't just implement technology they transform businesses. If you want the best, you work with their team.”
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Jack BennettConsumer Goods & Retail · United States
“I had a very urgent deadline for our project reporting to be delivered and needed to build the module, dashboard and output reports in Salesforce. SynconAI were very responsive - they met with me online, responded to my emails quickly and took calls - whatever was needed to progress the work quickly. We are thrilled with the outcome and will continue to work with SynconAI in the future to continue to build our Salesforce capability and platform.”
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Salesforce Managed ServicesAustraliaSalesforce Verified
“The team at SynconAI were fantastic, and promptly delivered on each project. They were able to guide us through every stage and made sure we were satisfied with the outcomes on multiple scopes of work.”
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ManufacturingAustraliaSalesforce Verified
“They have been great and helping us transform out business by bringing what I conceptualize to life. Great at translating process/workflow needs into a solution. Been a pleasure work with and they're a critical part of our team and will be instrumental into bringing about my vision.”
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Financial ServicesUnited StatesSalesforce Verified
“Working with SynconAI was a seamless and highly professional experience from start to finish. They took the time to deeply understand our business processes before designing and implementing a Salesforce solution tailored specifically to our operational needs. The team demonstrated strong technical expertise across Salesforce configuration, automation, integrations, reporting, and user experience design.”
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Frequently asked questions
Snowflake data engineering, answered.
Straight answers about Snowflake design, ingestion, cost, Cortex AI and zero copy with Salesforce Data 360.
Designing and building a Snowflake platform: accounts and warehouses, ingestion pipelines, data models, roles and masking, cost controls, and links to systems such as Salesforce Data 360.
Yes. Our engineers design, build and run Snowflake platforms as a fixed-scope project or on a monthly plan. SynconAI is an independent consulting firm.
Yes. Our engineers can join your team for a build or a migration, working in your repositories and to your standards, under a written proposal.
Snowflake's service for loading files continuously as they arrive in cloud storage. Snowpipe Streaming loads rows directly, without files, for data that needs to land faster.
We set auto-suspend, test smaller warehouse sizes, split workloads, add resource monitors, track serverless features and replace full reloads with incremental loads. We quote no savings figure before measuring.
Through Zero Copy. Data Federation lets Data 360 query Snowflake tables in place, and Data Sharing makes Data 360 data available in Snowflake. Both still need modeled keys.
Snowflake's AI features inside the platform, including Cortex AI Functions for SQL, Cortex Analyst for questions in plain language, and Cortex Search. They run under your existing roles.
Usually not. Snowflake keeps history and models. Data 360 joins data to CRM identity, segments and agents. Our guide on Snowflake and Data 360 covers the split.
Snowflake, Snowpipe, Cortex and Openflow are trademarks of Snowflake Inc. Salesforce and Data 360 are trademarks of Salesforce, Inc. Amazon S3, Azure, Google Cloud, PostgreSQL, SQL Server and dbt are trademarks of their owners. SynconAI is an independent consulting firm; apart from its Salesforce partner status, it is not affiliated with or endorsed by these companies.
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