急 Principle Data Architect Platform Engineering -架构工程组

Atome; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Hytech invites applications for a Data Architect to design scalable, cloud-based data systems on AWS. You will architect, implement, and optimize data platforms that meet business and client requirements, while guiding technical direction.

The role offers exposure to fintech clients and global engagements, with mentorship from senior architects. You will collaborate with stakeholders, data engineers, and analysts to build pipelines, migrate on-premises workloads to AWS, and establish data

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Strong experience with AWS cloud services, specifically those related to data storage and processing.
• Proven experience in developing data pipelines and analytics code.
• Knowledge of data modelling tools, diagram tools.
• Strong understanding of SQL and NoSQL databases.
• Familiarity with big data platforms like Hadoop, Spark, or Flink is a plus.

Responsibilities

• Design and implement scalable, high-performance data architectures on AWS.
• Work closely with stakeholders, software developers, and data analysts to ensure optimal data delivery architecture.
• Evaluate and recommend new data storage and processing technologies.
• Migrate on-premises data solutions to AWS cloud services.
• Utilise AWS services such as Redshift, RDS, S3, Athena, Kinesis, and Glue to implement solutions.
• Develop data pipelines using related technologies.
• Create and maintain data architecture documentation and best practices.
• Implement security protocols and disaster recovery processes.
• Mentor junior staff and perform code reviews.

Skills

AWS data services

Data pipelines

SQL

NoSQL

Big data platforms

Education

Bachelor's or Master's degree in CS/IT/related field

Tools

Data modelling tools

Diagram tools

Job description

Posted on 2026-01-12

Job List

About Hytech

Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services organisations. We deliver end-to-end consulting services and provide robust middle- and back-office solutions that enable our clients to optimise operations, enhance efficiency, and stay ahead in a fast-evolving digital landscape. Our client portfolio includes top global trading platforms and leading crypto exchanges.

With more than 2,000 professionals worldwide, Hytech has a strong and growing international presence, with offices across Australia, Singapore, Malaysia, Taiwan, the Philippines, Thailand, Morocco, Cyprus, Dubai, and beyond.

Role Overview

The Data Architect will play a vital role in architecting and implementing scalable, cloud-based solutions using AWS. The successful candidate will be responsible for developing, optimizing, and overseeing our company's conceptual and logical data systems, ensuring that they meet organizational requirements.

Responsibilities

• Design and implement scalable, high-performance data architectures, focusing on AWS cloud-based solutions.
• Work closely with stakeholders, software developers, and data analysts to ensure optimal data delivery architecture.
• Evaluate and recommend new data storage and processing technologies.
• Migrate on-premises data solutions to AWS cloud services.
• Utilise AWS services such as Redshift, RDS, S3, Athena, Kinesis, and Glue to implement solutions.
• Develop data pipelines using related technologies
• Create and maintain data architecture documentation and best practices.
• Implement security protocols and disaster recovery processes.
• Mentor junior staff and perform code reviews.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong experience with AWS cloud services, specifically those related to data storage and processing
• Proven experience in developing data pipelines and analytics code.
• Knowledge of data modelling tools, diagram tools.
• Strong understanding of SQL and NoSQL databases.
• Familiarity with big data platforms like Hadoop, Spark, or Flink is a plus.