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Data Architect – SAS VI

Data Architect – SAS VI

Thakral OneSingapore, SG
10 days ago
Job description

Role

Data Architect / Data Management Lead – SAS (Fraud & Investigation Focus)

Job Description

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 and 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 : SAS Viya, SAS DS2, SQL Programming Python, Spark, JSON, XML Job scheduling, Linux commands, data streaming tools (Kafka / SAS ESP) Postman / SOAPUI, REST APIs, DevOps / DataOps
  • Working knowledge of : Data model design, source-to-target mapping 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.

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    Data Architect • Singapore, SG