W3Global
Finance Semantic & Snowflake Data Architect

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Finance Semantic & Snowflake Data Architect
The Finance Semantic & Snowflake Data Architect will define and govern the Finance semantic model that connects Snowflake data assets with Finance business meaning. The role owns the semantic model, ontology, metadata approach, data-consumption patterns, and reusable calculation patterns for MTD, QTD and YTD, including the approach for approximately 200 General Ledger measures. The role will also establish an AI-ready data foundation, enable model-based analytics, and support agent integration using Snowflake semantic capabilities and the COCO SDK.
Requirements
- 15+ years of overall experience in enterprise data architecture, data warehousing, analytics or Finance technology.
- Demonstrated experience architecting Finance data platforms and semantic layers for GL, P&L, Revenue, Spend or management-reporting domains.
- Strong experience with Snowflake architecture, advanced data modelling, semantic models and governed analytical consumption.
- Experience defining business ontologies, metadata models, lineage and data-governance operating practices.
- Proven ability to work with senior Finance, data, architecture, governance and engineering stakeholders in a regulated environment.
- Bachelor's or master's degree in computer science, Information Systems, Engineering, Finance Technology or a related discipline.
- Snowflake architecture or advanced data engineering certification is preferred.
- Data governance, enterprise architecture or cloud architecture certification is advantageous.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Deliverables
- Finance concepts and measures are consistently defined, governed and traceable to approved Snowflake data.
- Semantic assets support reporting and AI consumption without bypassing agreed business rules and entitlements.
- Dynamic calculation patterns and the GL-measure approach are reusable, testable and understood by delivery teams.
- Architecture decisions, dependencies and risks are documented and resolved through the agreed governance forums.


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Capability Area
| Expected Proficiency | Description |
|---|---|
| Finance domain | General Ledger, P&L, Revenue, Spend, management reporting and financial measures |
| Architecture | Enterprise data architecture, semantic layers, logical modelling and consumption patterns |
| Snowflake | Snowflake platform architecture, semantic models, dynamic tables and Cortex awareness |
| Governance | Ontology, taxonomy, business glossary, metadata, lineage and stewardship |
| Calculation design | MTD, QTD, YTD, reusable measure patterns and metric governance |
| Leadership | Executive communication, design authority, facilitation and cross-team decision-making |
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