VP, Software Engineer (Data)
- Compensation
- Not disclosed
- Location
- Singapore, SG
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Contract
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Experience: Leadership experience in software and data engineering, with accountability for delivery across multiple teams, platforms or business domains within complex enterprise environments.
- Track record: Track record: Demonstrated success in defining and executing technical roadmaps, reducing technical debt and evolving platforms while balancing delivery commitments, operational risk and
- Technical stack: Strong knowledge of modern software and data landscapes and platform practices, including microservices, event-driven systems, API design, resiliency patterns, Kubernetes, PagerDuty,
- Software design: Deep software design fundamentals and the ability to set them as standards across teams, including system and component design, API and interface design, domain modelling, design patt
- Data craft: Strong grasp of data modelling, data contracts and schema evolution, data quality engineering, lineage, entitlements, and cost and performance tuning at scale, with the ability to establis
- Standards & environment: Experience leading engineering teams in high-availability, security-sensitive or regulated environments, with strong capability in incident leadership, data governance and pri
- Communication & leadership: Strong stakeholder management and communication skills with senior business and technology leaders, with the ability to explain technical and data concepts clearly to both
- Education & certifications: Bachelor’s degree in Computer Science, Engineering, Information and Communications Technology, Data Science, or a related discipline.
Full description
BUILD MARKETS. SHAPE ECONOMIES.
At SGX Group, we create markets. We turn ideas into products and expand access to new opportunities. We are building the future of the exchange in-house: from architecture and platforms to the critical systems that power markets. The biggest decisions are still open to people who join us now.
The opportunity
As Vice President, Software Engineer (Data), you will lead engineering across the data domain, spanning the applications, data platforms and data products that SGX Group's business and market infrastructure depends on. You will set direction, strengthen engineering discipline and take accountability for how data services, and the applications and interfaces built on top of them, are designed, delivered, operated and improved.
The challenge is to increase agility without compromising resilience, security, governance or operational reliability. In a mission-critical environment where data carries regulatory, client and market obligations, engineering decisions have real consequences, and you will need to make sound trade-offs across architecture, delivery, risk and business priorities.
There are strong foundations to build on, and a significant amount still to do. The engineering model, the data platform, tooling and ways of working will keep changing. If you want to inherit a mature data engineering organisation, this is not that one yet. It will suit someone who enjoys complexity, is comfortable leading through change and wants to build capability that lasts.
The Data Engineering Team
This role performs software engineering within the Data Engineering team that builds, runs and evolves the applications, data platforms and data products behind SGX Group’s business and market infrastructure.
The team works closely with product, architecture, platform, data governance, analytics, security and delivery colleagues to turn business priorities into secure, resilient and scalable data services. Its remit spans the full engineering lifecycle, from technical design, build, data modelling, CICD, testing etc through to production ownership of pipelines and continuous improvement.
Our next phase is about strengthening engineering ownership, modernising our data platform and practices, treating data as a product, and building consistency across teams without flattening the different needs of each business domain.
What you will do
- Software Development: Lead development of complex applications, services and APIs across the data domain, establish coding standards and mentor engineers, including the user-facing products that extend the data platform, data-as-a-service services and data agents etc.
- Software Design: Lead design of major systems and data architectures and influence cross-domain technical design, spanning application, API, storage, processing and data serving layers.