Senior Data Integration Architect - Enterprise Data Flows

ITC Infotech; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

ITC Infotech in Singapore is seeking an experienced Lead Data Integration Architect to define end-to-end integration architectures across enterprise applications, SAP platforms, and cloud data platforms.

You will lead design workshops, govern patterns, and provide hands-on guidance to data engineering teams, ensuring scalable, secure, and high‑performing integrations.

Exposure to AI/ML data integration and modernization initiatives is highly desirable.

Qualifications

• Hands-on experience designing and delivering complex application-to-application and application-to-data-platform integrations.
• Strong knowledge of enterprise integration patterns and data movement architectures.
• Experience with SAP Datasphere, SAP S/4HANA (SD/FICO) integration.
• Experience with cloud data platforms and AI/ML ecosystems.
• Experience in multi-cloud, hybrid environments.

Responsibilities

• Design end-to-end data integration solutions across enterprise applications, SAP platforms, cloud data platforms, analytics environments, and AI ecosystems.
• Lead solution design workshops with platform application, platform, and engineering teams; review and approve designs.
• Provide hands-on guidance to data engineering teams on implementation approaches and technical design decisions.
• Troubleshoot complex integration architecture challenges and support critical project deliveries.
• Ensure integration solutions meet requirements for scalability, reliability, maintainability, performance, and security.

Skills

ETL/ELT architecture

Enterprise integration patterns

APIs (REST, GraphQL)

Data movement architectures

Spark / PySpark

Data governance and lineage

Tools

Databricks

Job description

ITC Infotech in Singapore is seeking an experienced Lead Data Integration Architect to define end-to-end integration architectures across enterprise applications, SAP platforms, and cloud data platforms.

You will lead design workshops, govern patterns, and provide hands-on guidance to data engineering teams, ensuring scalable, secure, and high‑performing integrations.

Exposure to AI/ML data integration and modernization initiatives is highly desirable.