Solution Architect (Support data architecture and platform design) - A26274

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency. We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation. We are searching for our next team members to join our growing team. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

This is a 6 months fixed-term contract role; and ideally you can start on 01 Sept 2026.

What will you do? The Solution Architect shall be responsible for the following: • Design the end-to-end data architecture for the platform, including the medallion layers (bronze/silver/gold), semantic layer, and business analytics layer. • Define data models, data contracts, and governance frameworks for the core platform build. • Own schema design and data warehouse design decisions. • Ensure the architecture supports ingestion of diverse data types — IoT/telemetry, CCTV, building system logs — and is ready for AI/ML workloads. • Coordinate with partners to define the interface framework and specifications for inbound and outbound data sources. • Define governed access patterns for downstream consumers such as dashboards, APIs, and AI tools, working with the security function to ensure appropriate access controls and audit logging. • Assess available data to form hypotheses on how data can be used for data science and ML use cases, informing the data collection and architecture approach. • Ensure the foundational data architecture supports ongoing hypothesis testing, MLOps pipelines, and use case development. • Document all key architectural and technical decisions, including rationale and trade-offs, throughout the engagement. • Work closely with internal team members to progressively transfer architecture and design capability.