Data Architect

3 weeks ago


Singapore KG INFORMATION SYSTEMS PTE. LTD. Full time
Roles & Responsibilities

Roles & Responsibilities:

· Lead the data architecture design for core banking modernization initiatives

· Provides consultancy and advisory services for system integration, PoC, and impact analysis

· Conduct an in-depth analysis of system performance and identify any potential bottlenecks that may hinder optimal performance

· Effectively convey solution designs to diverse teams, and provide hands-on documentation or training sessions as necessary

· Define and implement data lake integration strategies to centralize and streamline data access

· Collaborate with cross-functional teams (Engineering, DevOps, Product, and Business) to align data models with business needs

· Design scalable, secure, and high-performance data pipelines and ETL frameworks

· Ensure data governance, lineage, and quality across all systems

· Evaluate and recommend modern data technologies, tools, and platforms

· Support migration from legacy systems to cloud-native or hybrid data platforms

· Create and maintain architecture documentation, standards, and best practices

Required Skills:

· Proven experience or certifications on the following skillsets – Messaging, container implementation, container orchestration, multi-tier application architecture, monitoring tools, and collaboration tools

· Experience in quotation of solutions, differentiating CAPEX and OPEX concepts and evaluating different options to find the most cost-effective solution

· A deep technical understanding required to source infra resources ranging from on-premises to cloud. Should be familiar with architect best practices, but also be flexible to adapt to the team's established practices and environment

· Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust

· Experience in various SQL and NoSQL databases (Oracle, MongoDB, Cassandra, PostgreSQL, MySQL)

· Proven experience in modernizing legacy banking systems and core banking platforms

· Strong expertise in data lake architecture (e.g., Azure Data Lake, AWS Lake Formation, Google BigLake)

· Hands-on experience with data modeling, ETL/ELT, and real-time data streaming(e.g., Kafka, Spark, Flink)

· Proficiency in SQL, Python, or Scala for data engineering tasks

· Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes)

· Deep understanding of data governance, security, and compliance (e.g., MAS, GDPR, PCI-DSS)

· Experience working with banking data domains such as payments, loans, deposits, and customer 360

· Excellent communication and stakeholder management skills

Desired Skills:

· Excellent understanding of the solution design and vendor management

· Excellent understanding of the Agile development methodologies

· Good understanding of front to back system architecture – banking product lifecycles

· Effective written and verbal communication (Both English and Korean)

Tell employers what skills you have

Scala
Oracle
Azure
Data Modeling
Pipelines
Architect
ETL
Cassandra
Data Governance
Data Engineering
SQL
Python
Architecture Design
Data Architecture
Banking
Databases
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