Data Architect

KEPPEL MANAGEMENT LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading company in Singapore seeks a Data Architect to provide strategic data solutions that optimize cloud-based architectures. In this role, you will lead the design of future-ready data architectures, mentor team members, and ensure data integrity and accessibility through modern methodologies and best practices.

Qualifications

• 4-5 years of experience in cloud-based data architectures.
• Experience in Data Engagements and leading data strategy.
• Knowledge of DevOps/DataOps/MLOps concepts.

Responsibilities

• Provide strategic recommendations on data processing architectures.
• Mentor team members in best practices for data management.
• Participate in code reviews and improve data engineering practices.

Skills

Data modeling

Data architecture

Mentoring

Data warehousing

AI services

Education

Bachelor's degree in Computer Science or Engineering

Tools

Python

SQL

AWS

Snowflake

DBT

Airflow

Bedrock

NoSQL

Kubernetes

Job description

Job Description

• Provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage

• Assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines

• Define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation

• Provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance

• Develop data models, schemas, and standards that ensure data integrity, quality, and accessibility

• Design & Build solutions with AI Services like Bedrock, Google etc.

• Mentor and guide team members in best practices for data architecture and management

• Participate in code reviews and contribute to the improvement of data engineering best practices

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field

• 4-5 years of experience in designing and building high-performance cloud-based data architectures

• Experience in Data Engagements, especially leading data strategy, roadmap and implementation

• Tech Stack – Python, SQL, AWS, Snowflake, DBT, Airflow, Bedrock, NoSQL

• Knowledge of container-based big data architectures and Kubernetes

• Familiarity with DevOps / DataOps / MLOps concepts