Job Responsibilities

• Design and maintain the enterprise data architecture, including data models, data flows, integration patterns, and reference architectures across data lakes, warehouses, and operational systems to support current and future needs
• Develop and own data modeling standards and ensure database schemas are optimized for performance, scalability, and maintainability
• Define and implement data integration strategies and ETL/ELT patterns to ingest, transform, and distribute data from internal and external sources
• Collaborate with data, IT and business teams to translate business requirements into robust and reusable data and AI solutions across the organization
• Coordinate with the Group Data Team to align on data platform architecture, standards, and governance policies
• Monitor and optimize the performance, reliability, and cost‑efficiency of data solutions, driving continuous improvement across the data landscape
• Document data assets and workflows to promote transparency, reusability, and cross-functional understanding
• Establish and enforce data governance, including data quality rules, master and reference data standards, metadata management, and lineage
• Define and implement data security and privacy controls (e.g., access control, encryption, masking) in line with regulatory and compliance requirements.
• Provide technical leadership, guidance, and best practices to junior data engineers and analysts on data architecture and standards

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field
• 5+ years of proven experience in data architecture, data engineering, database administration, or related roles, with hands on delivery of enterprise data solutions
• Experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and modern DevOps or DataOps practices is preferred
• Proficiency in SQL, Python and experience with ETL/ELT tools and frameworks, as well as data warehousing, datalake design and real-time data streaming
• Familiarity with big data and streaming technologies (e.g., Hadoop ecosystem, Spark, Kafka) and NoSQL databases
• Familiarity with AI/ML workflows, including data preparation and model integration into production systems
• Strong understanding of data governance, data quality, metadata management and data catalog practices
• Knowledge of data security, privacy, and compliance concepts, including role‑based access control and protection of sensitive data
• Strong communication and stakeholder management skills, with the ability to explain complex data concepts to non‑technical audiences and translate business needs into technical solutions
• Problem‑solving mindset and track record of designing scalable, maintainable architectures in complex environments
• Knowledge of healthcare data standards (e.g., HL7, FHIR) is highly desirable
   

*Gleneagles always prioritizes staff’s well-being and work-life balance. Join us now to enjoy our enhanced leave package with Family Care Leave, Birthday Leave, etc! We also offers Voluntary Provident Fund Scheme - employer's contributions including MPF equal to 8% of employee's basic salary, with no cap. Join us and let us be your long-term partner through your journey of career development!