SVP, Data Platform Services Engineering Lead, Technology Group (16806)

GIC PRIVATE LIMITED; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

GIC PRIVATE LIMITED seeks a Data Platform Services Engineering Lead to define and drive the future of databases, data platforms, middleware, and web services across the global estate. You will report to the Head of Infrastructure & Cybersecurity Engineering and shape a multi-year strategy focused on modernizing legacy systems toward cloud-native and AI-enabled platforms.

You will lead diverse teams, champion DevOps/SRE practices, and partner with application, AI, analytics, and operations groups

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field.
• 15+ years of progressive leadership managing global, cross-functional teams in database, data engineering, middleware, or platform engineering.
• Proven track record migrating legacy relational systems to cloud-native/hybrid data platforms.
• Deep expertise in DB technologies (Oracle, PostgreSQL, SQL Server, etc.), data orchestration

Responsibilities

• Develop and own a multi-year roadmap covering databases, data platforms, middleware, and web services.
• Modernize monolithic systems toward cloud-native patterns and integrate AI/ML readiness.
• Lead globally distributed engineering teams and implement DevOps/SRE practices.
• Ensure security, compliance, privacy, and audit requirements are embedded from day one.

Skills

Leadership

Database technologies

Data engineering

Cloud migration

Education

Bachelor's or Master's in Computer Science/Engineering/Data Science

Tools

Snowflake

Databricks

Open-source DBs

Middleware tools

Job description

GIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world's industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore's financial future, and the communities we invest in worldwide.

Technology Group

We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.

Infrastructure & Cybersecurity Resilience (ICR)

We design, build, and secure the technology foundations that power GIC's global investment operations. We aim to deliver resilient, scalable, and secure infrastructure that empowers our people and businesses to perform securely, efficiently, and effectively.

What impact can you make in this role?

This role will be the strategic, technical, and engineering leader for all database, data-platforms, middleware, and web services across the global estate. Reporting into the Head of Infrastructure & Cybersecurity Engineering, this lead will define and drive the next-generation strategy for data, database, middleware, and web services: evolving legacy relational systems (Oracle, SQL Server, etc.) while leading build, integration and migration to cloud-native, open-source, AI/agent-powered databases, data platforms (Snowflake, Databricks, data mesh, etc.). The incumbent must combine deep technical credibility with visionary leadership and ability to partner with application, AI, analytics, and operations teams. Over the next 5 years, this role is expected to transform GIC's data infrastructure and middleware into differentiators for performance, scale, agility, and insight.

What will you do as the Data Platform Services Engineering Lead?

Strategic Leadership & Vision

Develop and own a multi-year roadmap covering databases (Oracle, SQL Server, PostgreSQL, etc.), data platforms (Snowflake, Databricks, data lakes, data mesh), middleware (message brokers, application servers, API gateways), and web services. Modernize monolithic, traditional systems toward cloud-native patterns, integrating streaming, operational analytics, and AI/ML readiness. Incorporate AI/AIOps for automated tuning, anomaly detection, predictive maintenance, and self-healing across data, middleware, and web services. Oversee GIC's SWIFT infrastructure and financial messaging evolution (e.g., ISO 20022), ensuring robust engineering, security, and regulatory compliance.

Engineering Execution & Delivery

Lead globally distributed engineering teams responsible for building, integrating, and securing data/service layers. Champion DevOps/SRE best practices: Infrastructure as Code, CI/CD pipelines, automated testing, and robust observability. Collaborate with app development teams to minimize latency, provide consistent data, and integrate solutions into existing operational models. Conduct technology evaluations, pilots, and vendor engagements (Snowflake, Databricks, open-source DBs, middleware tools) to drive innovation and resilience.

Security & Compliance

Embed security, compliance, privacy, and audit requirements into the design from day one, ensuring regulatory and data residency mandates are met. Implement strong access control, encryption, vulnerability assessments, and continuous monitoring. Maintain consistent security baselines, leveraging automated checks and configuration management to prevent drift.

Governance & Collaboration

Serve as the global authority for database and middleware architecture governance, ensuring consistency across clouds and geographies. Engage with executive stakeholders to present strategy, trade-offs, budget needs, and progress. Partner with security, risk, compliance, and operations teams to ensure alignment on risk management and operational excellence. Contribute thought leadership externally (conferences, forums) to enhance GIC's presence in data and platform engineering.

Talent & Culture

Foster a collaborative, "automation-first," and innovation-driven culture, encouraging knowledge sharing and continuous learning. Set performance metrics (throughput, latency, cost efficiency, time to market) and empower teams to deliver on those KPIs.

What qualifications or skills should you possess in this role?

• Bachelor's or Master's in Computer Science, Engineering, Data Science, or related field.
• 15+ years of progressive leadership managing global, cross-functional teams in database, data engineering, middleware, or platform engineering.
• Proven track record migrating legacy relational systems to cloud-native/hybrid data platforms.
• Deep expertise in DB technologies (Oracle, PostgreSQL, SQL Server, etc.), data orches