Data Architects

Role Overview

We are looking for AWS Data Architects / Engineers to support the development of a cloud-native data platform and Data Lake/Lakehouse environment. You will be responsible for designing, developing and maintaining scalable data infrastructure that supports analytics, reporting and AI/ML initiatives.

Key Responsibilities

• Design and implement AWS Data Lake / Lakehouse architecture, including data landing, transformation and consumption layers.
• Develop scalable data ingestion pipelines using AWS Glue, Lambda, Step Functions, EventBridge and API Gateway.
• Build batch and streaming data processing workflows using AWS data services.
• Develop and maintain data transformation pipelines and the AWS Glue Data Catalogue.
• Implement data security, access controls and governance using AWS Lake Formation, IAM and Secrets Manager.
• Monitor pipeline performance, troubleshoot data issues and improve platform reliability.
• Optimise AWS data platform performance and cost efficiency.
• Maintain technical documentation, architecture decisions and operational procedures.

Requirements

• Minimum 4 years of experience in data engineering, data architecture or cloud infrastructure.
• Strong hands-on experience with AWS data services, particularly: Amazon S3 | AWS Glue | Amazon Redshift | AWS Lambda | AWS Step Functions | Amazon EventBridge | Amazon Kinesis | AWS Lake Formation
• Strong SQL skills and proficiency in Python or Scala.
• Proven experience designing and implementing Data Lake or Lakehouse architectures.
• Good understanding of data governance, data cataloguing and metadata management.
• Experience with batch and streaming data processing.
• AWS Certified Data Engineer, AWS Solutions Architect or equivalent certification.

Preferred

• Experience integrating data with Tableau or other BI tools.
• Exposure to AWS SageMaker / MLOps / AI/ML deployment.
• Experience with Salesforce integration via AWS AppFlow.
• Knowledge of Change Data Capture (CDC) and incremental data loading.
• Public sector or large-scale enterprise data environment experience.

Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to sherriyang(@)talentvis.com or click apply!

**We regret to inform that only shortlisted candidates would be notified**

EA License No: 04C3537

EA Personnel No: R22106683

EA Personnel Name: Yang Hui Shan, Sherri