Qualifications

The ideal candidate will possess extensive experience in data architecture within a commercial environment where data influences revenue, pricing, trading, or marketing decisions. Strong conceptual, logical, and physical data modeling skills are essential, including expertise in dimensional and event-based approaches. Hands-on experience with modern cloud data platforms such as Snowflake, AWS, Azure, or GCP is highly desirable, along with proficiency in ELT processes, APIs, streaming, batch data integration, and data contracts.

Practical skills in SQL, Python, and transformation tools like dbt are necessary to execute data modeling and transformation tasks effectively. Candidates should have experience working with large-scale consumer, digital, and transactional data, including web analytics and GA4. An understanding of data design for machine learning, artificial intelligence, and automated decision-making processes is also important. Knowledge of privacy, security, and compliance standards such as GDPR across multiple jurisdictions is required, along with the ability to communicate complex architecture concepts effectively to senior stakeholders.

Responsibilities

• Own and evolve the target data architecture for commercial data across multiple regions, including the UK, US, and Europe.
• Define and maintain common business entities, definitions, hierarchies, keys, and data contracts across various source systems and markets to ensure data consistency and trustworthiness.
• Design and architect data products that support core functions such as pricing, revenue management, marketing measurement, forecasting, and trading.
• Develop data models for consumer, digital, financial, and operational data that connect behavioral insights, investments, sales, and performance metrics.
• Embed privacy, security, consent, data retention, and cross-border data requirements into the architecture from the outset to ensure compliance and data protection.
• Establish standards for how analytics, machine learning, AI services, and agents access structured data securely and reliably.
• Create comprehensive data models, data flow diagrams, lineage documentation, architecture decision records, and reusable design patterns for engineering and business teams.
• Review and validate architectural designs, challenge assumptions when necessary, and represent data architecture in cross-team forums to promote best practices and consistency.

Benefits

Our client offers a competitive salary package in the region of £95,000 to £100,000, commensurate with experience. Alongside the base salary, employees will enjoy an attractive benefits package that includes performance-based bonuses, comprehensive health insurance, pension schemes, and flexible working arrangements. The role provides an excellent opportunity for professional development within a dynamic and innovative environment, where your expertise will directly influence strategic business decisions. The company fosters a collaborative culture that values diversity, inclusion, and continuous learning, ensuring a rewarding career experience.

Equal Opportunity

Youngs Employment Services is committed to promoting diversity and equal opportunity in the workplace. We believe that a diverse workforce enhances innovation and reflects our commitment to fairness. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. Our client ensures an inclusive environment where everyone has the opportunity to thrive and contribute to the company's success.