Key Responsibilities

• Own the target architecture for QiCore and act as design authority for every build that lands in it
• Establish clear approaches to customer identity, PII, consent, data classification, retention and access controls, working with relevant security, privacy and governance stakeholders.
• Lead the migration of Rewards into our warehouse and single customer view, then turn it into a repeatable pattern for future acquisitions
• Define the modelling, governance and data quality standards our engineers build to, and review work against them before it ships
• Stay hands-on: prototype pipelines, unblock engineers on daily design questions and lead a small team of data engineers
• Translate business needs into data design with Tech, Analytics and commercial teams, so the platform is ready for our AI ambitions

About You

• Proven enterprise or data architecture experience, with a warehouse or lakehouse you designed running in production
• Hands-on data engineering: you still write SQL and Python, and can build and debug pipelines yourself
• Strong understanding of PII, data privacy, access control and governance, with experience designing solutions for both identifiable and anonymous/pseudonymous customer data
• Deep knowledge of big data platforms, ETL and ELT patterns, and data governance frameworks
• Experience consolidating acquired businesses or legacy platforms into a single data model
• High standards for quality, and the clarity to explain design trade-offs to engineers and non-technical stakeholders
• You thrive when working as part of a team
• Comfortable in a fast-paced environment
• Have excellent written and verbal English skills
• Last but not least, you’ll have no ego!