data solution architect - risk & financial crime analytics

Randstad NV; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Randstad NV seeks a senior Data Platform Architect to design and deliver scalable analytics solutions across the software lifecycle. You will translate business and regulatory requirements into robust architectural designs and lead end-to-end delivery for enterprise data platforms.

You will evaluate new tooling, collaborate on PoCs, and partner with cross-functional teams to ensure data quality and operational excellence in a modern data landscape.

Competenze

• 8+ years leading end-to-end delivery of enterprise data and analytics solutions.
• Two relevant technical certifications across data platforms, cloud, or analytics technologies.

Mansioni

• Drive end-to-end solution delivery for large-scale analytics platforms, translating complex business and regulatory needs into robust architectural designs.
• Review, refine, and approve testing strategies, validation controls, and reconciliation frameworks to protect platform integrity.
• Evaluate emerging data and analytics tooling, collaborating on proof-of-concept initiatives to advance enterprise modernization.
• Formulate technical architectures supporting NLP, entity resolution, and network analytics.
• Partner cross-functionally to resolve incidents, perform root cause analysis, and reinforce data quality controls.

Conoscenze

end-to-end data architectures

open table formats

distributed processing engines

Apache Iceberg

Spark

Python

Informatica PowerCenter

Cloudera Hadoop

Data modelling

Formazione

Bachelor Degree

Strumenti

Informatica PowerCenter

Big Data Management

Descrizione del lavoro

about the company

A established global banking and financial services group recognized for its resilient technological infrastructure and international presence. The organization is dedicated to operational excellence, sound corporate governance, and continuous innovation in enterprise intelligence platforms.

about the job

Take the lead on designing and delivering scalable enterprise data and advanced analytics solutions across the complete software development lifecycle.

• Drive end-to-end solution delivery for large-scale analytics platforms, translating complex business and regulatory needs into robust architectural designs.
• Review, refine, and approve testing strategies, validation controls, and reconciliation frameworks to protect platform integrity.
• Evaluate emerging data and analytics tooling, collaborating on proof-of-concept initiatives to advance enterprise modernization.
• Formulate technical architectures supporting natural language processing, entity resolution rules, and relationship-driven network analytics.
• Partner cross-functionally with technical delivery and support specialists to resolve incidents, perform root cause analysis, and reinforce data quality controls.

skills and experience required

• Substantial expertise delivering enterprise systems analysis and modern data architecture within corporate banking, financial crime, or credit risk domains.
• Hands-on proficiency in distributed processing and query engines such as Spark, Trino, Presto, or Hive, alongside open table formats like Apache Iceberg, Delta Lake, or Apache Hudi.
• Advanced scripting and data manipulation capabilities using SQL, BTEQ, Python, and enterprise data integration tools like Informatica PowerCenter or Big Data Management.
• Strong technical background designing data pipelines that ingest and govern structured, semi-structured, and unstructured text datasets for natural language processing applications.
• Proven understanding of data governance, data lineage, fine-grained access security, and regulatory data management standards in banking environments.

experience

8 years

skills

designing end-to-end data architectures, open table formats, distributed processing engines, Apache Iceberg, Spark, Python, Informatica, Cloudera Hadoop, Data modelling

qualifications

At least two relevant technical certifications across data platforms, cloud, or analytics technologies. 8+ years leading end-to-end delivery of enterprise data and analytics solutions.

education

Bachelor Degree