Data Architect

Data Architect

We’re partnering with a leading international entertainment business to appoint a Data Architect on a contract basis. This is a pivotal role responsible for designing and delivering the organisation’s global Single Source of Truth (SSOT) model - a foundational data architecture that will power reporting, analytics, and future AI initiatives across multiple regions.
Reporting to the Head of Data and working closely with a Data Business Analyst, you’ll collaborate with a Global Data Team and subject matter experts across CRM, Marketing, Product Insights and Revenue Management. You’ll ensure scalable, well-governed data solutions that meet complex, multi-market business needs.
This is a high-impact opportunity to shape enterprise data architecture within a dynamic, customer-focused entertainment environment.
The Role

You will lead the architecture and development of a global SSOT data model supporting Revenue Management and consolidated CRM reporting. The platform is Snowflake-based and designed to scale across regions including the UK, US and EU.
Key responsibilities include:
Architect and develop the global SSOT model across Revenue Management and Customer reporting domains
Design Snowflake data structures optimised for performance, scalability, security, and regional variation
Establish and champion modelling standards and reusable patterns across markets and products
Partner with global data teams and business SMEs to gather requirements and validate models
Define and document data integration mappings from CRM/CDP platforms into the Global Data Platform
Produce clear conceptual, logical and dimensional models suitable for both BI/reporting and AI/ML use cases
Deliver high-quality documentation including data dictionaries, lineage artefacts and decision logs
Support project governance through milestone reviews, risk management and quality assurance
About You

Expert-level Snowflake experience and advanced dimensional modelling skills (star/snowflake schemas, SCDs, data vault awareness)
Proven experience delivering global or region-aware data models across multi-market rollouts
Ability to design data structures suitable for both BI/reporting and AI/ML consumption
Strong stakeholder engagement skills with experience facilitating workshops across business and technical teams
Excellent documentation standards including data dictionaries, lineage tracking and architectural decision records

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