- 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
