Data Architect
About the role
Join the AI & Data Department to help build and operate the Group AI & Data Platform (ADP), which provides governed, reusable data and technology capabilities across Great Eagle businesses. You will enable business use cases by delivering trusted data foundations, scalable data products and engineering capabilities that support analytics, AI and operational solutions.
Key responsibilities
Design, develop and maintain databases, schemas, data models, table structures and reusable data patterns that support Group analytics and AI initiatives.
Build, manage and optimise data ingestion, transformation, refresh and distribution processes for both structured and unstructured data.
Design, prototype and develop backend data marts and curated datasets for individual Data Science and AI projects based on business requirements and analytical needs.
Implement and support DataOps, MLOps and AIOps practices with application, infrastructure and Forward Deployment Engineering teams to ensure reliable production operation.
Improve scalability, performance and cost efficiency when handling growing data volumes, processing workloads and big-data challenges.
Collaborate closely with Data Scientists, Data & AI Governance, Cyber Security and other IT teams to enable secure and governed data access.
Provide ad-hoc support for data and AI initiatives while continuously improving engineering standards, automation capabilities and platform reusable assets.
About you
Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline.
5+ years of relevant experience in data engineering, platform engineering or data architecture; normally 8+ years for the Senior designation or broader Data Architect scope.
Strong SQL and Python skills, with experience developing production-grade data solutions and reusable engineering components.
Hands-on experience with data warehousing or lakehouse technologies, ETL / ELT, orchestration platforms, data modelling and big-data processing technologies.
Experience with cloud and modern data platforms such as Azure, AWS, Databricks, Snowflake, containers, APIs, CI/CD and infrastructure automation.
Good understanding of data governance, security, privacy, metadata, lineage, observability, DataOps, MLOps and production support practices.
Strong communication skills in English and Cantonese, together with genuine passion for cutting-edge technologies such as Generative AI, Large Language Models (LLMs), RAG, AI Agents, AI-assisted development and vibe coding.
Why Join Us
Help build a Group-wide AI & Data capability from the ground up, work across diverse business domains and turn trusted enterprise data into solutions that improve decisions, efficiency and customer or operational outcomes.
We are an equal opportunity employer and welcome applications from all qualified candidates.
Personal data collected will be treated as strictly confidential and used only for recruitment-related purposes. Applicants who have not heard from us within four weeks may consider their applications unsuccessful. All personal data will be destroyed after 24 months.