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We are seeking an accomplished Data Architect to join our Architecture and Assurance team. In this role, you will evolve and enhance the data architecture that supports our products, platforms, and decision-making processes. You will design and update data models and architecture patterns for cloud-based platforms, ensuring that our data remains secure, reliable, and ready for large-scale analytics. You will collaborate closely with teams across data and analytics, engineering, product development, and governance to ensure our architecture aligns with business strategy and technology standards. We are looking for an analytical thinker who can connect technology solutions to business goals and drive innovation throughout the organization. Your work will directly contribute to our ability to deliver superior products and insights, supporting both operational excellence and strategic growth.
Job Responsibility:
Design and maintain logical, conceptual, and physical data models to support both operational and analytical needs
Develop and update data standards, canonical models, naming conventions, data quality rules, and governance artifacts
Lead data architecture and modelling projects from initial design through to successful implementation
Partner with business stakeholders to define data domains, ownership structures, and ensure alignment with business objectives
Communicate complex technical concepts clearly to both technical and non-technical audiences, providing actionable, commercially viable recommendations
Conduct architecture reviews to ensure compliance with internal standards and industry best practices
Participate in peer reviews and represent architecture designs at both Architecture Review, Data Control and Data Governance Boards
Monitor industry trends and emerging technologies, recommending improvements to enhance data architecture and analytics capabilities
Drive initiatives to improve application performance, usability, and user experience
Advise and mentor data engineering and product teams on data architecture best practices
Support global technology initiatives and foster cross-divisional collaboration
Requirements:
Demonstrated recent experience in designing and developing data architectures
Minimum of three years’ experience in architecture and data engineering roles
Proven expertise in data architecture design, data engineering, and data modelling
Proficiency with modern data ecosystems (e.g., Data 360, Snowflake, BigQuery, Redshift)
Strong knowledge of relational, non-relational and streaming data technologies
Experience designing scalable ETL/ELT pipelines and data integration architectures
Experience collaborating with global teams in agile environments
Deep understanding of modern technology landscapes and their application to business challenges, including awareness of limitations and localisation requirements
Experience innovating with new technologies and adapting designs
Ability to visualize and present technical solutions to stakeholders
Strong analytical and critical thinking skills, with a focus on innovative solution design
Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical audiences
Nice to have:
Enthusiastic about the automation landscape and presenting ideas back to senior stakeholders
An enterprising spirit
Effective communicator across different lines of business functions
Always challenging ambiguity
With strong character and presence - capable of handling and challenging tough and demanding stakeholders in a respectful and productive manor
A creative, innovative person that likes getting stuck in and is keen to learn and grow
Able to build strong relationships across the organisational structure
Nimble, open-minded thinking, flexible on process but committed to impact
Initiative-taker, able to work with minimal supervision and oversight, able to overcome challenges independently
Lifelong learner – always identifying areas of improvement and staying up to date with evolving technology and business landscape
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