The Data Architect is responsible for designing and governing the data architecture, models, and standards that underpin scalable, reliable, and reusable data products. This role ensures that data across the organisation is consistently structured, clearly defined, and fit for purpose, enabling both operational reporting and future advanced analytics.

Key Responsibilities

Data Modelling & Structure

Define and maintain canonical data models across domains
Design scalable data structures to support analytics and reporting
Ensure consistent definitions of key business entities and metrics

Align data models across multiple source systems

Data Architecture & Integration
Design end-to-end data architecture (ingestion → transformation → consumption layers
Define integration patterns for internal systems and external APIs
Support both batch and real-time data flows where required
Ensure alignment between operational systems and analytical data structures

Data Standards & Governance

Define and enforce data standards, naming conventions, and modelling practices
Work with the Data & Insights Manager to establish data ownership and governance
Ensure consistency and reusability of datasets across teams

Technical Leadership

Provide architectural guidance to Data Engineers
Review and approve data design decisions
Ensure scalability, performance, and maintainability of data solutions

Data Quality & Consistency

Define frameworks for data quality, validation, and reconciliation
Ensure alignment of data definitions across business domains
Support resolution of data discrepancies

Required Skills & Experience

5–10+ years experience in data architecture, data modelling, or senior data engineering roles
Strong expertise in data modelling (e.g. dimensional modelling, normalisation, semantic layers)
Proven experience designing scalable data architectures (warehouse, lake, or lakehouse)
Strong understanding of data pipelines (ETL/ELT) and transformation patterns
Experience working with API-driven and/or event-based systems
Ability to define and enforce data standards and governance practices
Experience working closely with engineering and analytics teams
Strong problem-solving skills with attention to data consistency and correctness

Nice to Have

Experience in iGaming, fintech, or high-volume transactional systems
Experience modelling event-based data (e.g. transactions, sessions, gameplay flows)
Familiarity with modern data stack tools (e.g. Snowflake, BigQuery, dbt, Kafka)
Experience with real-time or streaming data architectures
Exposure to regulatory or compliance-driven data environments
Experience supporting AI/ML data readiness
Success Metrics
Consistent and reusable data models across domains
Reduction in data duplication and conflicting definitions
Improved data quality and trust across the organisation
Scalable architecture supporting current and future use cases

What’s in it for you?

Experience a dynamic and team-orientated work environment.
Opportunities for personal growth and learning
An open, inclusive and supportive team where you will be valued, and your suggestions will be welcome.
26 days paid holiday per year. This is in addition to local public holidays.
Competitive salary
Hybrid Working
Risk Benefits such as pension, Life Assurance (4x annual salary), Private Medical Insurance
Team Building Opportunities
Flexible core hours between 10am – 4pm
Receive support whenever you need it with our Employee Assistance Program, available 24/7.
Local discounts and more.

Data Architect

Job Description