VP, Site Reliability Engineer, Data Platform

About the role

DBS is looking for an experienced Vice President of Site Reliability Engineering to join its Data & Visualization Platform team within Group Technology. The role covers the architecture, operational excellence and scalability of the bank's critical data and visualization infrastructure, including sophisticated visualization suites, so that the platforms remain resilient, secure and cost-efficient. The position is based at the DBS Asia Hub and is full-time.

Key responsibilities

• Architect, build and operationalize enterprise-grade Big Data platforms from the ground up, ensuring high scalability and reliability.
• Manage the lifecycle and adoption of core data and visualization tools (Trino, Superset, Tableau, Celerity) for Lines of Business and business stakeholders.
• Maintain and enhance data lake and data processing infrastructure supporting mission-critical banking applications.
• Lead large-scale migration and modernization projects, moving legacy systems to containerized, cloud-native environments (OpenShift, GCP, AWS).
• Streamline deployment pipelines and CI/CD workflows to improve engineering velocity.
• Implement and manage unified monitoring, logging and visualization frameworks (ELK, Prometheus, Grafana) for end-to-end system visibility.
• Lead capacity planning and drive cost-optimization strategies across the cloud ecosystem.
• Partner with cross-functional stakeholders, oversee production support in line with compliance, security and governance, and mentor teams on SRE and DevOps best practices.

Required profile

• 16+ years of IT experience, with at least 9+ years in Big Data, Monitoring and Observability.
• Proven experience leading large-scale data platform migrations in a highly regulated environment (Financial Services preferred).
• Demonstrated success managing complex production environments and driving cost optimization.
• Ability to align technical roadmaps with business strategy.

Required skills

• Hadoop, Spark, Kafka
• Trino, Superset, Tableau, Celerity
• Kubernetes, OpenShift, GCP, AWS
• ELK Stack, Prometheus, Grafana
• CI/CD pipelines and infrastructure-as-code