AWS Data Lakehouse Architect

ITCAN PTE. LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

ITCAN PTE. LIMITED in Singapore seeks a Senior Data Engineer/Architect to design and implement an end-to-end AWS Data Lake and Lakehouse platform.

You will define data architecture standards, build scalable ingestion pipelines, and ensure secure, governed data across hot, warm, and cold storage layers. The role requires hands-on AWS expertise (S3, Glue, Redshift, Lambda, Kinesis, Step Functions) and strong SQL/Python or Scala skills, with a focus on batch and stream processing and cost

Qualifications

• Minimum 3–5 years in data engineering, data architecture, or cloud infra roles.
• Strong SQL and at least one scripting language (Python or Scala).
• Experience designing Data Lake or Lakehouse architectures; governance and metadata management.

Responsibilities

• Design and architect end-to-end AWS Data Lake and Lakehouse solutions across Landing, Transformed, and Curated zones.
• Develop and deploy data ingestion pipelines using AWS Glue, Lambda, Step Functions, EventBridge, and API Gateway.
• Build data transformation workflows (batch & streaming) with AWS Glue and Redshift, including orchestration and monitoring.
• Maintain AWS Glue Data Catalogue with schema evolution tracking and metadata tagging.
• Configure data security policies using Lake Formation, IAM, and Secrets Manager; enforce granular access controls.
• Monitor platform health, troubleshoot pipeline failures, and optimize performance and cost on AWS.

Skills

SQL proficiency

Python/Scala scripting

Data architecture

AWS data services

Data governance

Batch & streaming processing

Tools

Amazon S3

AWS Glue

Amazon Redshift

AWS Lambda

Amazon Kinesis

AWS Step Functions

Amazon EventBridge

AWS AppFlow

AWS Lake Formation

Job description

ITCAN PTE. LIMITED in Singapore seeks a Senior Data Engineer/Architect to design and implement an end-to-end AWS Data Lake and Lakehouse platform.

You will define data architecture standards, build scalable ingestion pipelines, and ensure secure, governed data across hot, warm, and cold storage layers. The role requires hands-on AWS expertise (S3, Glue, Redshift, Lambda, Kinesis, Step Functions) and strong SQL/Python or Scala skills, with a focus on batch and stream processing and cost