Finance Semantic & Snowflake Data Architect

Uniting PeopleUnited Kingdom🇬🇧United KingdomPosted 5 Oct 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to shape the finance semantic architecture and define key business metrics, providing significant impact and career growth. You'll thrive here if you possess strong data architecture and finance domain expertise, and enjoy collaborating with senior stakeholders in a dynamic environment. Apply today for this exciting contract position offering a competitive day rate.

Quick Overview

Seniority

Mid Senior

Employment type

Temporary/Casual

Work mode

Hybrid

Location

United Kingdom

SnowflakeStakeholder Management

Job Description

Contract: Finance Semantic & Snowflake Data Architect
Rate: £580 per day Inside IR35
Contract: Initial contract - 1 year
Location: UK/Remote

The Opportunity

We are looking for a senior Finance Semantic & Snowflake Data Architect to define and govern the Finance semantic architecture connecting Snowflake data assets with Finance business meaning.

This is a senior architecture/design-authority position responsible for the semantic model, ontology, metadata approach, data-consumption patterns and reusable Finance calculation patterns, including approximately 200 General Ledger measures.

Key Responsibilities

Own the Finance semantic model and architecture.
Define Finance business ontology and semantic structures.
Design semantic layers connecting Snowflake data with Finance requirements.
Define reusable calculation patterns for MTD, QTD and YTD.
Establish the approach for approximately 200 GL measures.
Govern Finance metrics and business definitions.
Define metadata, taxonomy and business glossary approaches.
Establish lineage and data-governance practices.
Define data-consumption patterns for reporting and AI.
Ensure Finance measures are traceable to approved Snowflake data.
Establish AI-ready data foundations.
Support model-based analytics.
Support Snowflake semantic capabilities and agent integration.
Act as architecture/design authority across delivery teams.
Work with senior Finance, architecture, governance and engineering stakeholders.
Document architectural decisions, dependencies and risks.

Essential Experience

15+ years' enterprise data architecture/data warehousing/analytics/Finance technology experience.
Strong Finance data architecture experience.
Experience with GL, P&L, Revenue, Spend or management reporting.
Strong Snowflake architecture experience.
Advanced data modelling.
Semantic layer architecture.
Enterprise data architecture.
Business ontology and taxonomy.
Metadata and data governance.
Data lineage and stewardship.
Reusable Finance measures and calculation patterns.
Strong senior stakeholder management.
Experience operating within regulated environments.

Snowflake/Technical

Snowflake platform architecture.
Snowflake semantic models.
Dynamic tables.
Data modelling.
Semantic layers.
Governed analytical consumption.
Cortex awareness.
AI-ready data foundations.
COCO SDK/agent integration awareness.

Certifications

Preferred:

Snowflake architecture/advanced data engineering certification.
Data governance certification.
Enterprise architecture certification.
Cloud architecture certification.

Best fit: Enterprise Data Architect/Finance Data Architect/Snowflake Architect with significant semantic modelling and Finance transformation experience.