AI Office Lead: Database & DataOps Manager

National University Polyclinics

Singapore

On-site

SGD 180,000 - 240,000

Full time

2 days ago
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Job summary

National University Health System is seeking a Senior Manager for the Artificial Intelligence Office to lead robust database systems across Development, UAT, Staging, DR, and Production environments. This role administers SQL Server and PostgreSQL, handles upgrades and migrations, and ensures high availability.

You will design database architectures, manage production changes with strict change control, and build ETL/ELT pipelines with SQL/SSIS/Python, plus backups, DR, security, and performance

Qualifications

  • Experience managing SQL Server and PostgreSQL across Development, UAT, Staging, DR and Production environments.
  • Proficient in upgrades, migrations, DR planning, and high availability.
  • Experience with CI/CD for database deployments and ETL pipelines.
  • Strong security practices, RBAC and compliance awareness.

Responsibilities

  • Administer and support SQL Server and PostgreSQL across dev, UAT, staging, DR, and prod.
  • Design, build, and maintain ETL/ELT pipelines using SQL, SSIS, Python.
  • Plan production deployments with change management to minimize downtime.
  • Configure and manage HA/DR via FCI, RDS, and replication.

Skills

SQL Server Administration
PostgreSQL
Azure DevOps
ETL/ELT pipelines
RBAC security

Education

Bachelor’s degree in Computer Science / Information Technology / related field

Tools

AWS cloud architecture
Kubernetes
SQL Server
SSIS
Azure DevOps
Amazon RDS

Job description

National University Health System is seeking a Senior Manager for the Artificial Intelligence Office to lead robust database systems across Development, UAT, Staging, DR, and Production environments. This role administers SQL Server and PostgreSQL, handles upgrades and migrations, and ensures high availability.

You will design database architectures, manage production changes with strict change control, and build ETL/ELT pipelines with SQL/SSIS/Python, plus backups, DR, security, and performance

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