CL-504 Cloud & Platform

Snowflake Data Cloud at Scale

Own Snowflake across an organisation rather than an account: multi-region topology under residency rules, data products shared without copies, Snowpark and Cortex workloads in-platform, and replication that has been failover-tested. Learners design the account topology, publish and version a shared data product, rehearse a region failover against an RTO, and build the cost strategy that keeps growth defensible.

B5Advanced

6modules

42skill atoms

2role journeys

Curriculum

What this course covers.

6 modules, 42 named skill atoms. Expand any module to see them.

1Multi-Account and Multi-Region Topology7 skill atoms

organisation accounts and account hierarchyaccount per environment vs per business unitregion and cloud placement driven by residencycross-cloud auto-fulfilment for listingsnetwork policies and private connectivity per accountcentralised role and policy administrationreplication and egress cost between regions

2Secure Sharing and Marketplace7 skill atoms

provider and consumer responsibilitieslistings, private exchanges and marketplace publicationusage telemetry visible to the providermonetisation and contract terms per listingversioning a shared data productmasking and row access applied to shared objectsserving external consumers without copies

3Snowpark and In-Platform ML7 skill atoms

Snowpark DataFrame API in PythonUDFs, UDTFs and procedures pushed to the warehouseSnowpark-optimized warehouses for memory-heavy workCortex LLM and forecasting functionsfeature engineering kept next to the datamodel registry and in-platform inferencewhen to leave the platform for training

4Replication and Failover7 skill atoms

database and account-level replicationreplication lag and refresh schedulingfailover groups and client redirectobjects that do not replicate and must be rebuiltstanding cost of continuous replicationfailover rehearsal against an RTO stopwatchfailback and reconciliation after an event

5Legacy Warehouse Migration7 skill atoms

Teradata, Netezza and Oracle workload assessmentSQL dialect conversion and procedural rewriteETL pushdown replaced by in-platform ELTdual-run reconciliation on counts and totalssurrogate key and datatype mismatchescutting BI connections over to the new sourcedecommission trigger and licence exit

6Platform Cost Strategy at Scale7 skill atoms

chargeback by warehouse, role and query tagcredit budgets per business unit with enforcementstorage strategy across retention, time travel and clonescapacity commitment against forecast growthcredits per business transaction as the efficiency KPIweekly review of the top spending queriesgovernance that prevents warehouse sprawl

Where it fits

CL-504 in the role journeys.

This course appears in 2 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.

Data Platform Engineer

Capstone stage

CL-303→CL-504→journey complete

Data Cloud Engineer (Snowflake)

Capstone stage

CL-227→CL-504→journey complete

Roles this course serves

Data Cloud Engineer (Snowflake)Data Platform Engineer

The capability ladder

This course is authored to band B5.

Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.

What do B1–B6 mean?The CASI Capability Ladder — click to expand

Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.

What the learner can doTypical evidence

AwareUnderstands concepts and vocabulary; uses tools with guidance

Knowledge checks

FoundationPerforms standard tasks correctly in familiar contexts

Guided labs, autograded exercises

PractitionerDelivers complete pieces of work independently

Scenario labs, proctored hands-on exams

ProfessionalHandles production-grade complexity, trade-offs and failure modes

Break-fix drills, design defenses

AdvancedEngineers systems end-to-end under constraints; leads others

Rubric-scored capstones, vivas

ExpertSets direction; recognised authority across teams

Portfolio + panel evaluation

A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.

Other Cloud courses at this level.

CL-203

Run CL-504 for your team.

This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.

Add it to a training plan Talk to our team Check your team’s level free

Snowflake Data Cloud at Scale

What this course covers.

CL-504 in the role journeys.

Data Platform Engineer

Data Cloud Engineer (Snowflake)

Roles this course serves

This course is authored to band B5.

Other Cloud courses at this level.

AWS Advanced Networking: Transit Gateway at Enterprise Scale

Azure Virtual WAN & Firewall Networking

Enterprise Multi-Cloud Networking & Connectivity

Cross-Cloud VPN & BGP Engineering Deep-Dive

Global Traffic Management & Cross-Cloud DR

Service Mesh & Advanced Traffic Management

Run CL-504 for your team.