Assistant Vice President, Data Platform Engineering & SRE

SGX Group; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

SGX invites an AVP, Data Platform Engineering & SRE to lead the design, operation, and continuous improvement of SGX's enterprise data platform. The role spans data engineering, reliability engineering, and platform automation to deliver trusted data services powering growth and resilience.

You will work across cloud and on‑prem environments, building scalable capabilities, improving observability, and reducing toil through AI-assisted practices and automation, while guiding architecture and

Qualifications

• Proven experience building and operating production-grade data platforms.
• Strong troubleshooting and problem-solving skills.
• Bachelor’s degree in Computer Science, Engineering, ICT, or related field.
• Experience with cloud platforms and data tooling is a plus.

Responsibilities

• Design, build, and operate scalable data platform capabilities.
• Develop reusable platform services and engineering standards.
• Collaborate with data engineers, architects, and stakeholders to align with business priorities.
• Drive platform modernisation across cloud-native and on-premise environments.
• Establish data quality, lineage, monitoring, and governance capabilities.
• Lead reliability practices, SLOs, monitoring, and governance across the data platform.
• Implement CI/CD pipelines and IaC to improve productivity and release reliability.
• Promote DevSecOps and AI-assisted tooling across the platform lifecycle.

Skills

Troubleshooting

Problem solving

Communication

Leadership

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science or related field

Tools

Python

Java

Terraform

OpenTelemetry

Prometheus

Grafana

dbt/Dataform

CI/CD

GitOps

Job description

The AVP, Data Platform Engineering & SRE is responsible for building, operating, and continuously improving SGX's enterprise data platform, ensuring it is scalable, reliable, secure, and efficient. The role combines data platform engineering, reliability engineering and operational excellence to deliver trusted data services that support business growth, innovation, and operational resilience.

Working across cloud and on‑premise environments, the incumbent will design and operate platform capabilities that enable the delivery of high-quality data products, improve engineering productivity, strengthen observability, and enhance the reliability and resilience of SGX's data ecosystem. The role will leverage AI‑assisted engineering practices and automation to reduce operational toil, improve service reliability, accelerate delivery, and drive continuous improvement across the platform lifecycle.

At SGX, technology is a core enabler of growth, innovation, and trust. This role sits at the heart of that ambition by helping to build advanced, scalable, and resilient data platforms that power a systemically important market infrastructure. The AVP, Data Platform Engineering role will play a meaningful role in strengthening engineering excellence, delivering solutions that enhance performance, scalability and reliability across a fast‑evolving financial markets landscape.

For candidates with strong ambition, this role offers a compelling platform for growth. It provides the opportunity to deepen technical mastery across modern engineering, cloud, platform services, and operational resilience, while expanding influence across architecture, product delivery, and enterprise transformation initiatives. Over time, the role can evolve along multiple pathways, including senior individual contributor tracks such as Lead Engineer, Principal Engineer, or Architect, as well as broader leadership opportunities in engineering management, platform leadership, or strategic technology delivery. For professionals who want to combine hands‑on engineering with visible impact, SGX offers both the scale and significance to build a rewarding long‑term career.

Job description:

Job Summary

The AVP, Data Platform Engineering & SRE is responsible for building, operating, and continuously improving SGX's enterprise data platform, ensuring it is scalable, reliable, secure, and efficient. The role combines data platform engineering, reliability engineering and operational excellence to deliver trusted data services that support business growth, innovation, and operational resilience.

Working across cloud and on‑premise environments, the incumbent will design and operate platform capabilities that enable the delivery of high-quality data products, improve engineering productivity, strengthen observability, and enhance the reliability and resilience of SGX's data ecosystem. The role will leverage AI‑assisted engineering practices and automation to reduce operational toil, improve service reliability, accelerate delivery, and drive continuous improvement across the platform lifecycle.

SGX Ambition & Career Path

At SGX, technology is a core enabler of growth, innovation, and trust. This role sits at the heart of that ambition by helping to build advanced, scalable, and resilient data platforms that power a systemically important market infrastructure. The AVP, Data Platform Engineering role will play a meaningful role in strengthening engineering excellence, delivering solutions that enhance performance, scalability and reliability across a fast‑evolving financial markets landscape.

For candidates with strong ambition, this role offers a compelling platform for growth. It provides the opportunity to deepen technical mastery across modern engineering, cloud, platform services, and operational resilience, while expanding influence across architecture, product delivery, and enterprise transformation initiatives. Over time, the role can evolve along multiple pathways, including senior individual contributor tracks such as Lead Engineer, Principal Engineer, or Architect, as well as broader leadership opportunities in engineering management, platform leadership, or strategic technology delivery. For professionals who want to combine hands‑on engineering with visible impact, SGX offers both the scale and significance to build a rewarding long‑term career.

Job Responsibilities

Data Platform Engineering

• Design, build, and operate scalable data platform capabilities supporting batch, streaming, and API‑based data services.
• Develop reusable platform services, frameworks, and engineering standards that accelerate delivery of data products.
• Build and maintain data platform infrastructure, including compute, storage, orchestration, and integration services.
• Partner with data engineers, architects, and business stakeholders to deliver platform capabilities aligned to business priorities.
• Drive platform modernisation initiatives across both cloud‑native and on‑premise environments.
• Establish platform capabilities that support data quality, lineage, monitoring, and governance requirements.

Reliability Engineering (SRE)

• Implement reliability engineering practices, service‑level objectives (SLOs), monitoring standards, and operational governance across the data platform.
• Develop observability capabilities covering platform health, pipeline execution, service performance, data freshness, data completeness, and data quality.
• Improve platform resilience through automation, proactive monitoring, capacity management, and recovery testing.
• Lead incident investigation, root cause analysis, and continuous improvement initiatives.
• Identify opportunities for self‑healing and operational automation to improve platform availability and reduce manual intervention.
• Implement controls and observability to ensure data accuracy, completeness, timeliness, and reliability.
• Support compliance, audit, risk management, and operational resilience objectives through robust platform controls.
• Explore AI‑driven approaches for monitoring, incident detection, root cause analysis, anomaly detection, and operational automation.

Platform Automation & DevOps

• Build CI/CD pipelines and automated deployment processes to improve engineering productivity and release reliability.
• Implement Infrastructure‑as‑Code and platform automation practices.
• Develop reusable engineering tooling and automation frameworks that improve consistency, quality, and operational efficiency.
• Promote DevSecOps and engineering best practices across the platform lifecycle.
• Leverage AI‑assisted development tools to improve engineering productivity and software quality.
• Drive adoption of engineering practices that improve delivery efficiency and reduce operational overhead.

Job Requirements

• Experience: Proven experience building and operating production grade data platforms in complex enterprise environments. Strong troubleshooting and problem‑solving skills in production environments.
• Track record: Demonstrated ability to deliver well‑tested, maintainable software, contribute to code reviews and drive continuous improvement within a team.
• Technical stack: Strong hands‑on skills with modern languages and frameworks such as Python or Java; cloud platforms such as AWS, GCP or Azure; containerisation and cloud‑native services; GitOps, CI/CD pipelines, infrastructure as code (terraform) and automated testing; and observability tooling such as OpenTelemetry, Prometheus and Grafana; proficiency in Python, SQL, orchestrator and dbt/dataform (or equivalent) experience.
• Standards & environment: Solid understanding of security‑by‑design, resiliency patterns and operational excellence expected in high‑availability, regulated environments.
• Communication & leadership: Strong communication and collaboration skills, with the ability to explain technical concepts clearly and work effectively across cross‑functional teams.
• Education & certifications: Bachelor’s degree in Computer Science, Engineering, Information and Communications Technology, or a related discipline.
• Domain Knowledge (Good to Have): Exposure to financial market infrastructure, including securities and derivatives trading, clearing, settlement, market operations, or exchange‑related systems.

Please note that the role may include production incidents response or deployment outside normal business hours including evenings, weekends, and public holidays, when required to ensure production services meet agreed availability and reliability targets.