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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.