Data Architect - Enterprise Data Analytics & AI Platforms

Lead enterprise-scale data & AI architecture transformation Shape next-gen analytics, ML, and data platform capabilities About Our Client Our client is a forward-looking, digital-first organisation operating at significant data scale, serving a large and diverse customer base. With a strong focus on innovation and data-driven decision-making, the business is accelerating its transformation into an AI-enabled enterprise. They foster a collaborative, engineering-led culture where experimentation, modern technologies, and continuous improvement are actively encouraged. This is an opportunity to join a high-impact team shaping the organisation's long-term data strategy and capability. Job Description Design and implement scalable data architectures spanning data warehouse and lakehouse environments Establish enterprise data models, standards , and frameworks to ensure consistency and usability Architect robust data pipelines supporting both real-time and batch data processing Evaluate and integrate modern data and AI platforms to support analytics and ML workloads Build secure, reliable, and high-performing data infrastructure with strong monitoring and observability Drive governance frameworks covering data quality, lineage, and regulatory compliance Partner cross-functionally to enable self-service analytics and AI-ready data products The Successful Applicant Experience in data architecture, data platforms, or large-scale data engineering Proven track record designing enterprise data warehouse or lakehouse environments Strong expertise in cloud-based data ecosystems (e.g. AWS or equivalent) Proficiency in SQL, Python, and modern data processing frameworks Experience with data pipeline orchestration, ETL/ELT, and real-time data processing Knowledge of data governance, security, and compliance frameworks Exposure to machine learning infrastructure or MLOps environments is advantageous What's on Offer Opportunity to lead high-impact enterprise data transformation initiatives Exposure to cutting-edge data, AI, and cloud technologies Collaborative environment with strong leadership and technical vision Clear career progression within a rapidly evolving digital business Competitive remuneration and comprehensive benefits package Contact Miao Xia Neo (Lic No: R21103441/ EA no: 18C9065) Quote job ref JN-072026-7053694 Phone number +65 6416 9828 Michael Page (Personnel) Pte Ltd | Registration No.201736642C