Salary: £95,000 - 100,000 per year
Requirements: - Strong data architecture experience in a commercial environment where data informs revenue, pricing, trading, or marketing decisions.
- Excellent conceptual, logical, and physical data modelling skills, including dimensional and event-based approaches.
- Experience with modern cloud data platforms (AWS, Azure, GCP, etc.), ELT patterns, APIs, events, streaming, batch integration, and data contracts.
- Experience with Snowflake would be highly beneficial.
- Practical SQL, Python, and transformation tooling experience, ideally including dbt.
- Experience with consumer, digital, and transactional data at scale, including web and app analytics and GA4.
- Understanding of data design for ML, AI, or automated decisioning, including trusted definitions, controlled access, and decision/outcome capture.
- Knowledge of privacy and security by design across multiple jurisdictions, including GDPR and related data protection requirements.
- Confidence influencing senior stakeholders and explaining architecture decisions in business terms.
- Experience in entertainment, travel, hospitality, retail, or another business where price, demand, and inventory interact dynamically.
- Snowflake and AWS experience, with exposure to AI or model-serving environments such as SageMaker or Snowflake Cortex.
- Customer data platforms, identity resolution, consent management, experimentation, or feedback-loop design.
Responsibilities: - Own and evolve the target data architecture for commercial data across the UK, US, and Europe.
- Define common business entities, definitions, hierarchies, keys, and data contracts across source systems and markets.
- Architect data products that support pricing, revenue management, marketing measurement, forecasting, and trading.
- Design consumer, digital, financial, and operational data models that connect behaviour, investment, sales, and performance.
- Embed privacy, security, consent, retention, and cross-border data requirements into the architecture from the outset.
- Define how analytics, ML, AI services, and agents access structured data safely and consistently.
- Produce data models, flows, lineage, architecture decision records, and reusable design patterns for engineering and business teams.
- Review and assure designs, challenge where needed, and represent Data in cross-team architecture forums.
- Set standards, produce architecture documentation, and provide assurance before engineering delivery begins.
Technologies: - AI
- AWS
- Architect
- Azure
- Cloud
- GCP
- Support
- Marketing
- Python
- SQL
- Security
- Snowflake
- Web
- dbt
More:
We are offering an exciting hybrid opportunity based in Central London and work from home for a Data Architect to own the data architecture for a global entertainments business. Our Global Data Platform is built on Snowflake and brings together marketing, financial, and other operational data across sites in multiple countries. This senior individual contributor role is for someone who thrives in autonomous, fast-paced agile environments and wants to make a real impact. We offer a salary in the region of £95,000 to £100,000, dependent on experience, plus an attractive benefits package including a bonus scheme.
last updated 39 week of 2026