Michael Page Hiring! Full Time Data Architect - Enterprise Data Analytics - AI Platforms in - Ricebowl

• 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)

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Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.