Database Administrator
- Compensation
- Not disclosed
- Location
- Metro Manila
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in computer science or a related field or equivalent practical experience.
- 5+ years of experience in a Database Administration or related role with at least 2 of those years working in a cloud database environment.
- Good knowledge and understanding of cloud platforms (Azure, AWS, GCP)
- Progressive experience with boxed databases (e.g. SQL Server and PostgreSQL) together with hands-on experience of cloud database management (e.g. Azure SQL Database, Amazon Aurora, GCP Cloud SQL).
- Proven experience in providing oversight, with a strong ability to make informed decisions that drive system performance and scalability.
- Strong SQL skills (including TSQL and PL/pgSQL) together with proficiency in languages such as PowerShell and Python.
- Experience with version control systems and CI/CD pipelines for database changes.
- Familiarity with monitoring and logging tools like Prometheus, Grafana and DataDog.
Nice to have
- Database certifications (SQL Server, PostgreSQL) and/or cloud certifications (Azure, AWS, GCP) are highly desirable.
- Strong communication skills and ability to collaborate with cross-functional teams.
- Knowledge of security best practices and compliance standards in cloud database environments.
- Familiarity with NoSQL technologies.
- Exposure to containerization.
Full description
The Opportunity
We are seeking a highly skilled and motivated Database Administrator to join our dynamic engineering team. The ideal candidate will have a strong database management background combined with a deep understanding of how databases really work.
As a Database Administrator, you will not only mentor and guide our engineers but also participate in architectural and key decision-making forums regarding our databases, ensuring a focus is always on the reliability of our systems and centered on positive customer experience. You will collaborate with cross-functional teams to ensure the reliability, scalability, and security of our databases.
What You'll Do
- Administer, manage, and maintain both internal development and customer SQL databases (SQL Server, Azure SQL Database, PostgreSQL)
- Possess a good understanding of cloud platforms (e.g. Azure, AWS, GCP) to design, implement and manage cloud database infrastructure
- Automate administrative tasks and improve operational efficiency through scripting (e.g. PowerShell, Python)
- Monitor, analyze and optimize database performance across a large database estate
- Troubleshoot and resolve reported database-related issues, providing timely and effective solutions
- Collaborate with development teams to design and implement robust database solutions
- Act as the database Subject Matter Expert (SME) during the investigation and resolution of live customer incidents
- Ensure data security, privacy, and compliance with all applicable policies and standards
- Undertake database project work as required
What We're Looking For
- Bachelor’s degree in computer science or a related field or equivalent practical experience.
- 5+ years of experience in a Database Administration or related role with at least 2 of those years working in a cloud database environment.
- Good knowledge and understanding of cloud platforms (Azure, AWS, GCP)
- Progressive experience with boxed databases (e.g. SQL Server and PostgreSQL) together with hands-on experience of cloud database management (e.g. Azure SQL Database, Amazon Aurora, GCP Cloud SQL).
- Proven experience in providing oversight, with a strong ability to make informed decisions that drive system performance and scalability.
- Strong SQL skills (including TSQL and PL/pgSQL) together with proficiency in languages such as PowerShell and Python.
- Experience with version control systems and CI/CD pipelines for database changes.
- Familiarity with monitoring and logging tools like Prometheus, Grafana and DataDog.