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Data Architect

SpringCube

Full time - Associate/Junior Executive

IT Data Centre & Infrastructure

Singapore ( Onsite )

Published 3 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your

job search. Explore the position below to find your next career move.

Company Overview

This global asset manager and operator provides solutions for a sustainable future, focusing on Infrastructure, Real Estate, and Connectivity. They connect investors with alternative real assets, with a strong emphasis on decarbonization and sustainable urban renewal.

Job Title: Data Architect

JOB DESCRIPTION

A leading organization is seeking a skilled Data Architect to provide strategic recommendations on leveraging data lakes, data meshes, and serverless architectures to optimize data processing and storage. This role will assess and recommend AI/ML-enabled data architectures that facilitate scalable feature engineering and model training pipelines. The Data Architect will define and advise on the design of modern, future-ready data architectures that align with business goals and support AI, analytics, and automation. They will provide thought leadership on best practices for data modeling, data warehousing, and lakehouse architectures to ensure scalability and performance. Responsibilities include developing data models, schemas, and standards that ensure data integrity, quality, and accessibility, as well as designing and building solutions with AI Services like Bedrock and Google. The Data Architect will also 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

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.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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