Enterprise Data Solution Architect - Risk & Financial Crime

Randstad Singapore; Singapore; Presencial; SGD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Randstad Singapore is seeking a senior data architecture leader to design and deliver scalable analytics platforms across the full software lifecycle. You will translate complex regulatory and business needs into robust architectural designs, while reviewing testing strategies and data quality controls to protect platform integrity.

The role requires hands-on with Spark, Trino/Presto, Hive, and modern open table formats; you will champion data governance, lineage, and security in banking

Formación

• Experience delivering enterprise analytics and data architectures in banking or regulatory domains.
• Proficiency with modern data tooling and governance practices.
• Hands-on data integration and engineering with big data stacks.

Responsabilidades

• Lead design and delivery of scalable analytics platforms across the SDLC.
• Translate business and regulatory needs into robust architectural designs.
• Review testing strategies, validation controls, and reconciliation frameworks.
• Evaluate new data tooling and run proof-of-concept initiatives.
• Develop architectures for NLP, entity resolution, and network analytics.
• Collaborate with delivery and support teams to resolve incidents and ensure data quality.

Conocimientos

Enterprise data architecture

Financial crime analytics

Big data & distributed engines

Data governance

Data lineage

Knowledge graphs & relationships

Regulatory data management

Herramientas

Spark

Trino/Presto

Hive

Apache Iceberg

Delta Lake

Apache Hudi

Informatica PowerCenter

Descripción del empleo

Randstad Singapore is seeking a senior data architecture leader to design and deliver scalable analytics platforms across the full software lifecycle. You will translate complex regulatory and business needs into robust architectural designs, while reviewing testing strategies and data quality controls to protect platform integrity.

The role requires hands-on with Spark, Trino/Presto, Hive, and modern open table formats; you will champion data governance, lineage, and security in banking