Data Architect - SAS VI (Visual Investigator)

THAKRAL ONE PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A premier data-focused firm seeks a seasoned Data Architect / Data Management Lead in Singapore. The role emphasizes expertise in fraud analytics and SAS environments, aiming to shape data strategies and architecture. Ideal candidates will have substantial experience in leading data projects and collaborating with stakeholders across various sectors.

Qualifications

• 10+ years of experience in Business Analytics, Data Architecture, or Data Warehousing.
• 5 enterprise projects completed, preferably with SAS solutions.
• Experience in fraud analytics, case management, or investigative systems.

Responsibilities

• Collaborate with business analysts to gather data-related requirements.
• Define and implement comprehensive data architecture.
• Lead batch and real-time data ingestion processes.

Skills

SAS Viya

SQL Programming

Python

Spark

JSON

XML

Job scheduling

Linux commands

Education

Degree in Computer Science

Degree in IT

Degree in Statistics

Tools

SAS DS2

Kafka/SAS ESP

Postman/SOAPUI

REST APIs

DevOps/DataOps

Job description

Job Summary:

We are seeking a highly experienced Data Architect / Data Management Lead with strong domain knowledge in fraud analytics, case management, and investigation/intelligence systems. The ideal candidate will lead the design, development, and deployment of data integration and analytics components within SAS environments, with hands-on exposure to SAS Viya, data pipelines, and real-time streaming tools. This role is ideal for someone who thrives at the intersection of data strategy, architecture, and stakeholder collaboration.

Key Responsibilities:

• Collaborate with business analysts to gather and interpret data-related requirements for fraud/case management/investigation solutions.
• Define and implement a comprehensive data architecture, including data sourcing, integration, cleansing, storage, and provisioning strategies.
• Translate business requirements into technical work products across the ETL, data engineering, and reporting layers.
• Design and lead batch and real-time data ingestion processes from various sources into SAS or big data platforms.
• Develop data pipelines, orchestration frameworks, and visualization/reporting structures using tools such as SAS Viya, DS2, and Python.
• Lead integration and testing of developed components, and support UAT activities.
• Oversee documentation, project tracking, and technical troubleshooting.
• Ensure compliance with data governance, metadata, and quality management standards.

Experience & Skills Requirements:

• 10+ years of relevant experience in Business Analytics, Data Architecture, or Data Warehousing.
• Proven end-to-end delivery of at least 5 enterprise projects, preferably involving SAS solutions in fraud, surveillance, or case management domains.
• Strong hands-on experience in:

1. SAS Viya, SAS DS2, SQL Programming
2. Python, Spark, JSON, XML
3. Job scheduling, Linux commands, data streaming tools (Kafka/SAS ESP)
4. Postman/SOAPUI, REST APIs, DevOps/DataOps

• Working knowledge of:

1. Data model design, source-to-target mapping
2. Real-time event processing, metadata management, and orchestration

• Background in fraud analytics, investigative systems, or intelligence/case management frameworks is essential.
• Familiarity with tools such as SAS Intelligent Decisioning, RTDM, PEGA, or similar is a strong plus.
• Experience working in government, public sector, or regulated environments is highly preferred.
• Strong communication, stakeholder management, and leadership skills.
• Degree in Computer Science, IT, Statistics, or related field.