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

Activate Interactive Pte Ltd

Industry
-
Location
Singapore, Singapore
Work mode
on-site
Job type
Contract
Annual salary
Not specified
Minimum experience
8+ years
Posted
14th August, 2026

Required skills

Computer ScienceData WarehouseAuditLoggingArchitectureDatabricksSnowflakeRobotics

About the role

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.
  • Degree in Computer Science, Engineering, or related field with 8+ years of experience in data architecture.
  • Proven experience designing and building medallion (bronze/silver/gold) data architectures and semantic layers from the ground up, with hands-on delivery on AWS using mainstream lakehouse or data warehouse platforms such as Databricks or Snowflake.
  • Experience defining data contracts, governance frameworks, and schema design for large-scale platforms, including implementing automated data quality controls within the pipeline.
  • Experience leading architecture for data platforms at national or large and complex scale, having served as the lead architect for the majority of the project's duration, including demonstrated experience delivering comparable data platform projects internationally at city-level or above, beyond the Singapore market.
  • Familiarity with ingesting diverse data types, including IoT/telemetry, system logs, and image/video data.
  • Experience with robotics data formats and the ingestion and processing of sensor or field-equipment data streams is preferred.
  • Experience designing data infrastructure that supports GenAI workloads, including AI-ready data architecture for large language model or retrieval-augmented generation use cases, is preferred.

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