| Company Name | Singapore Telecommunications Ltd |
|---|---|
| Company UEN | 199201624D |
Design, build and implement enterprise-wide data and API integration frameworks to support AI/ML platforms across hybrid cloud and on-premise environments Work with system owners and data domain leads to design and deliver scalable end-to-end data flows across operational, analytical, and AI systems Define and develop secure, reusable API interfaces (REST, GraphQL, event-driven) and data interface (batch or streaming) that enable seamless interoperability between internal systems and AI services Oversee and evaluate new data integration approaches and pipeline designs to ensure efficient, secure, and scalable data flow between data sources and AI platforms. Collaborate with Security and Data Governance teams to ensure integration designs align with compliance, privacy, and policy requirements (e.g., PDPA, data classification) Design and enable data access strategies for LLMs and agent-based workflows, ensuring context-rich, real-time connectivity to distributed enterprise systems Implement and maintain integration middleware and tooling (e.g. Kafka, Azure ML/Foundry, Databricks, etc) to support data orchestration, synchronization, and reliability Contribute integration expertise to data or AI experimentation, PoCs, and platform upgrades, ensuring architectural consistency and production-readiness Define and enforce data and integration design standards, focusing on scalability, resilience, observability, and system decoupling Work closely with business units, IT, and Networks to align integration plans with enterprise priorities and ensure successful data exchange across functional boundaries
Bachelor’s in Computer Science, Engineering, Data, AI/ML, or related field. At least 3 years of experience in data architecture, system and API integration engineering. Demonstrated experience in designing integration flows for large-scale, real-time systems across cloud and legacy environments. Experience in designing and implementing data integration frameworks across hybrid cloud and on-premise environments, including building scalable and secure data pipelines for AI/ML platforms. Proficient in data integration design, with solid knowledge of data pipelines, data lakes, data warehouses, and data lakehouse architectures. Good knowledge of modern data orchestration and middleware tools such as Apache Kafka, Azure Data Factory, Databricks, Airflow, and experience in managing data flow between operational, analytical, and AI environments. Working knowledge of data security, data protection and data quality management including implementation of encryption, RBAC, masking, and alignment with regulatory frameworks such as PDPA and internal data classification policies. Proven experience integrating data systems with AI/ML workflows, including model training, serving, monitoring, and enabling context-aware access for LLMs and agent-based automation. Effective collaboration skills to work across data, platform, machine learning engineering and API integration teams, with a clear communication style to bridge business and technical stakeholders Good internal (IT, Networks, business) and external (suppliers, government) stakeholders management skills Strong technical writing and presentation skills, with the ability to communicate complex concepts clearly to both technical and non-technical stakeholders. Proactive and fast learner with a strong drive to stay current on emerging technologies and industry trends.
| Job Title | Senior Data & Integration Architect |
|---|---|
| Salary | SGD0.00 - 0.00 |
| Employment Type | Full Time |
| Working Experience | 2 Years |