VP of Data & Platform Engineering: AI-driven Systems, Reliability & Governance

Singapore Exchange Limited; Singapore; On-site; SGD 260,000 - 380,000; Full time

Job summary

Singapore Exchange Limited is seeking a senior software and data engineering leader to translate enterprise data strategy into actionable plans, drive the evolution of the data platform, and mentor engineers to deliver scalable applications, APIs and data services.

You will champion security-by-design, governance, and reliability across the SDLC, partnering with stakeholders to ensure data products are discoverable, trusted, and compliant while enabling analytics and AI workloads.

Responsibilities

• Lead development of complex applications, services and APIs across the data domain.
• Establish coding standards and mentor engineers across user-facing products and data services.
• Oversee data platform extensions, data-as-a-service offerings and data agents.
• Lead design of major systems and data architectures across application, API, storage and processing layers.
• Set direction for how data products are built and operated with curated, contract-backed datasets.
• Drive security-by-design practices for sensitive market and client data.
• Partner with data governance to surface lineage, entitlements and privacy controls.
• Lead integration design across data platform, trading, risk and enterprise systems.
• Improve SDLC, automation and engineering standards across data assets.
• Lead reliability improvements through telemetry, monitoring and incident leadership.
• Mentor engineering teams and foster talent across software and data engineering.

Job description

Singapore Exchange Limited is seeking a senior software and data engineering leader to translate enterprise data strategy into actionable plans, drive the evolution of the data platform, and mentor engineers to deliver scalable applications, APIs and data services.

You will champion security-by-design, governance, and reliability across the SDLC, partnering with stakeholders to ensure data products are discoverable, trusted, and compliant while enabling analytics and AI workloads.