Data Architect

3 days ago

Singapore UNIVERSAL PROCUREMENT SYSTEMS PTE LTD Full time

**Responsibilities**:

- Partner with business analysts to understand and shape data requirements for fraud or investigative systems.
- Architect end-to-end data strategies, from source acquisition and cleansing to storage, preparation, and analytics delivery.
- Convert functional needs into technical deliverables across ETL, engineering, and reporting layers.
- Design and manage real-time and batch ingestion workflows into SAS platforms or large-scale data lakes.
- Build and maintain robust data pipelines, orchestration layers, and visualization components using **SAS Viya**, **DS2**, **Python**, and other tools.
- Coordinate testing, integration, and support activities, including UAT and post-deployment maintenance.
- Lead documentation efforts and contribute to overall data governance, metadata, and quality frameworks.
- Troubleshoot complex data issues and track project progress against delivery milestones.

**Required Experience & Skills**:

- Minimum **10 years of experience**in data architecture, analytics platforms, or BI/data warehouse implementations.
- Delivered at least **5 full-scale projects**involving fraud detection, surveillance systems, or case/investigation platforms.
- Strong hands-on capabilities in:
**SAS Viya**, **SAS DS2**, and **SQL**
**Python**, **Spark**, **JSON**, **XML**
**Linux**, **job orchestration tools**, and real-time technologies like **Kafka**or **SAS ESP**
**Postman**, **SOAPUI**, **REST APIs**, and CI/CD frameworks ( **DevOps / DataOps**)
- Familiar with:
Data modeling, source-to-target mapping, real-time processing design
Metadata and data lineage tools, orchestration frameworks
- Experience with SAS Intelligent Decisioning, RTDM, PEGA, or similar decision management tools is advantageous.
- Prior involvement in public sector, government, or regulatory environments is preferred.
- Strong communication and stakeholder alignment skills; capable of leading technical teams.
- Bachelor’s degree in a relevant discipline such as Computer Science, Information Technology, or Statistics

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