Data Architect - Technology (SAS VI)

UNIVERSAL PROCUREMENT SYSTEMS PTE LTD; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a skilled Data Architect / Data Management Lead to design data solutions for fraud analytics and investigative platforms. This role offers a strategic opportunity to oversee integrated data pipelines, engaging with stakeholders and leading technical teams while working heavily with SAS-based environments. Candidates should have a robust background in data architecture, extensive experience in project delivery, and strong capabilities in stakeholder management.

Qualifications

• Minimum 10 years of experience in data architecture or analytics platforms.
• Delivered at least 5 full-scale projects involving fraud detection or investigation systems.
• Strong hands-on capabilities with relevant technologies and tools.

Responsibilities

• Architect end-to-end data strategies for fraud or investigative systems.
• Build and maintain data pipelines and visualization components.
• Lead documentation efforts and contribute to data governance frameworks.

Skills

SAS Viya

SAS DS2

SQL

Python

Spark

JSON

XML

Linux

Data modeling

Real-time processing design

REST APIs

DevOps / DataOps

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Technology

Bachelor's degree in Statistics

Job description

We are looking for a seasoned Data Architect / Data Management Lead with extensive experience in designing data solutions for fraud analytics, investigative platforms, or intelligence and case management systems. The successful candidate will oversee the architecture, development, and implementation of integrated data pipelines and analytics frameworks within SAS-based environments, particularly SAS Viya. This is a hands-on leadership role requiring both technical depth and strong stakeholder coordination across business and technology teams.

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