急 Principle Data Architect Platform Engineering -架构工程组

Posted on 2026-01-12

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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.