Database Engineer, Postgres

Collibra

1d•$116,000 - $145,000•Onsite

About The Position

Joining Collibra’s Product & Database Reliability Team. We are seeking an experienced and skilled Database Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the optimal performance, scalability, and reliability of our database systems. This role involves collaborating with cross-functional teams, providing technical leadership, and implementing best practices to enhance the overall efficiency of our database infrastructure.

Requirements

A bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent related working experience is required. Advanced degree preferred.
Proven experience as a Database Performance Engineer or similar role with at least 3-5 years of hands-on experience.
Expertise in database management systems in PostgreSQL and proficiency in SQL.
Professional experience in Cloud hosting platforms like AWS and GCP, with a preference for those with managed database experience.
Knowledge of database architecture, replication, and optimization techniques.
Possessing strong analytical and problem-solving skills, capable of troubleshooting complex database issues effectively.
Familiar with performance monitoring and tuning tools, demonstrating a keen understanding of optimizing database performance.
A team player with excellent communication and collaboration skills, capable of working closely with developers, system administrators, and various stakeholders.
Excellent communication and collaboration skills.
US citizen who resides on US soil.

Nice To Haves

Basic knowledge on GraphDB, Kubernetes, Linux is a good add-on.

Responsibilities

Performance Optimization: Analyze and optimize database performance through monitoring, tuning, and query optimization to ensure optimal response times and efficient resource utilization. Collaborate with our engineering teams to brainstorm, assist with resolution.
Right Sizing: Conduct capacity planning and forecasting to anticipate future database requirements and ensure scalability. Automate a way to do that sizing with scalability.
Troubleshooting and Problem Resolution: Diagnose and resolve complex database issues, including performance bottlenecks, scalability problems, and data inconsistencies. Analyze observability data to identify patterns, trends, and potential performance bottlenecks.
Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide guidance on database-related concerns.
Automation: Implement automation for repetitive tasks, and performance monitoring to streamline processes and enhance efficiency. Develop and maintain automated solutions for continuous workload analysis at scale, allowing for proactive identification of potential issues.
Best practices & documentation: Best practices for developing the overall database architecture, database configurations, processes, and troubleshooting procedures.