65097 Data Architect

half the sky; Kuala Lumpur; On-site; MYR 150,000 - 200,000; Full time

Job summary

A leading tech firm in Kuala Lumpur is seeking a skilled professional to oversee data lake design and enhance technical directions for teams. The ideal candidate will manage project quality assurance for architecture deliverables and ensure integration success across infrastructure and functional streams. Proficient experience in Big Data tools like Hadoop, ETL/ELT, and cloud resources such as AWS and Azure is essential. This role offers the opportunity to lead innovative data solutions in a collaborative environment.

Qualifications

• Experience in managing data lake design and providing technical direction.
• Ability to coordinate project solution teams and ensure deliverable quality.
• Hands-on experience with Big Data tools and cloud services.

Responsibilities

• Design the data lake and guide technical teams.
• Monitor project solutions across various work streams.
• Ensure quality assurance of architecture and design deliverables.

Skills

Big Data management & processing

Data Transformation using ETL/ELT

Database and data warehousing

Cloud Full Stack Resources

Data Lake Architecture

Data Virtualization

Tools

Hadoop

Spark

AWS Glue

Talend

SQL

NoSQL

AWS DynamoDB

Azure

Denodo

Informatica

Job description

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

• Responsible for data lake design and providing technical direction to data engineer, data analysts, data integration developers and database administrators
• Provide input, monitor, and coordinate the project solution team across infrastructure, technical, and functional work streams
• Responsible for the quality assurance of all architecture and design deliverables (e.g. technical documents)
• Responsible in preparing High Level Design (HLD) document
• Manage and monitor the program activities from Analyze to Deployment Phase
• Manage, highlight and resolve any design integration risks/issues with relevant business and stakeholder
• Experience in Big Data management & processing using tools such as Hadoop, Spark
• Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI
• Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.
• Experience in Cloud Full Stack Resources and Services (Azure, AWS)
• Have experience in Data Lake Architecture & Technology (i.e. Object Storage, Unstructured, etc.) and Data Virtualization (Denodo, Actifio, Atscale, Informatica, etc.)