Technical Manager, Data Architecture

Sits within the Club's AOP programme, a strategic mission to transform digital capabilities across product, technology, operations, delivery and change. The position defines and maintains enterprise data architecture standards, reference architectures and roadmaps for modern data platforms. It leads data modelling, governance and platform scalability while partnering with business stakeholders, Product Owners, Data Engineers and downstream application teams.

• Define and maintain enterprise data architecture standards, best practices, reference architectures, and roadmaps for modern data platforms
• Design and govern scalable data architectures, including data lakes, data warehouses, lakehouse platforms, data integration patterns, and analytical solutions
• Lead data modelling activities, including conceptual, logical, and physical data models to support business, operational, and analytical use cases
• Establish and promote best practices for data governance, data quality, metadata management, lineage, security, privacy, and master/reference data management
• Partner with business stakeholders, Product Owners, Data Engineers, and downstream application teams to ensure architecture, data models, and data contracts align with business and operational requirements
• Provide architecture guidance and design reviews for data pipelines, integrations, APIs, messaging solutions, and platform enhancements
• Drive platform scalability, reliability, performance tuning, and cloud cost optimisation across databases, data warehouses, and data lake environments
• Promote modern engineering practices including CI/CD, Infrastructure-as-Code, automation, observability, and platform governance
• Evaluate emerging technologies and provide recommendations on future data, analytics, AI, and cloud capabilities

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline
• 8-12 years of experience in data engineering, data architecture, or related disciplines, with demonstrated architecture ownership for enterprise-scale platforms
• Strong hands-on experience designing and implementing cloud-based data platforms on AWS, Azure, or other major cloud platforms
• Proven expertise in data architecture, data lake, data warehouse, and lakehouse design principles
• Strong experience in data modelling, including dimensional modelling, Data Vault, and operational data modelling techniques
• Experience establishing and implementing data governance, data quality, metadata management, lineage, and security frameworks
• Strong understanding of distributed data processing technologies such as Spark and cloud-native analytics services
• Experience designing highly scalable, resilient, and cost-efficient platforms handling large volumes of data
• Practical experience optimising database, data warehouse, and data lake performance, storage design, resource utilisation, and cloud operating costs
• Strong understanding of CI/CD, DevOps/DataOps practices, Infrastructure-as-Code (Terraform, CloudFormation, or equivalent), and platform automation
• Excellent communication and stakeholder management skills, with the ability to influence both technical and business audiences
• Experience in gaming, entertainment, loyalty, customer analytics, or related industries
• Experience with Medallion Architecture, Lakehouse, Data Mesh, Data Fabric, or other modern architectural patterns
• Experience with real-time and event-driven architectures using Kafka, Solace, Event Hub, or similar technologies
• Knowledge of enterprise integration patterns, APIs, messaging architectures, and data contract design

• AWS, Azure, Databricks, Terraform, or other relevant cloud and data platform certifications are advantageous

• Competitive salary and benefits package

• Dynamic working environment
• Development opportunities

It is Hong Kong's largest single taxpayer and one of the city's major employers, and its Charities Trust is one of the world's leading charity donors.