Data Architect
Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 1, 2026.
The Hong Kong Jockey Club
Founded in 1884, The Hong Kong Jockey Club (“the Club”) is a world-class racing club that acts continuously for the betterment of our society. The Club has a unique integrated business model, comprising racing and racecourse entertainment, a membership club, responsible sports wagering and lottery, and charities and community contribution. Through this model, the Club generates economic and social value for the community and supports the HKSAR Government in combatting illegal gambling.
The Department
Join us as we shape the future of sports and entertainment at the Club through a strategic mission to transform our digital capabilities. Our flagship programme, operating under the internal acronym ‘AOP’, aims to Accelerate our Platform, Product, People, Performance and Potential, bringing this strategy to life through innovation and delivery excellence.
AOP's work spans product, technology, operations, delivery and change, creating next-generation experiences and strengthening the capabilities that support the Club's future growth. We are a diverse team passionate about solving complex challenges, delivering meaningful impact, and creating value for customers, members, the Club and the wider community.
The Job
- 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
About you
- 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
- Experience with cloud migration, platform modernisation, and hybrid-cloud implementations
- Knowledge of Chinese cloud platforms and ecosystems such as Alibaba Cloud, Tencent Cloud, Huawei Cloud, or Volcano Engine
- Exposure to AI/ML, Generative AI, RAG, vector databases, LLM platforms, or MLOps architectures
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline
- AWS, Azure, Databricks, Terraform, or other relevant cloud and data platform certifications are advantageous
- Data Processing: PySpark, SQL, Spark, Apache Airflow, AWS Glue, Azure Data Factory
- Cloud & Infrastructure: AWS (S3, Glue, EMR, Redshift, Athena, Lake Formation), Azure (ADLS, Synapse, Databricks, Fabric, Event Hub), Terraform, CloudFormation
- Data Architecture & Modelling: Dimensional Modelling, Data Vault, Lakehouse, Data Mesh, Data Fabric, Medallion Architecture
- Development & Automation: Python, GitHub, CI/CD Pipelines, Infrastructure-as-Code
- Monitoring & Governance: CloudWatch, Azure Monitor, Datadog, Data Quality, Metadata, Lineage, Governance Frameworks
- Integration & Streaming: APIs, Kafka, Solace, Event Hub, Event-Driven Architectures
- AI & Advanced Analytics (Preferred): Azure OpenAI, Amazon Bedrock, Vector Databases, RAG, LLM Platforms, AI/ML Workloads
Apply Now!
We offer competitive salary and benefits packages, a dynamic working environment and development opportunities.
Add horsepower to your career today. If you do not meet all of the requirements but still believe you can make a difference, please apply.
Equal Opportunity and Inclusive Hiring
We are an equal opportunity employer and strive to create an inclusive workplace for all. Applicants from diverse backgrounds are welcomed to apply. If you have any special needs or require accommodations during the interview process, please e-mail us via [email protected]. Personal data provided by job applicants will be used strictly in accordance with the Club's notice to employees and job applicants relating to the Personal Data (Privacy) Ordinance. A copy of which will be provided immediately upon request.