Database Administrator III

Job Description

Phenom Intro

Our purpose is to help a billion people find the right work! Phenom is an AI-powered Talent Experience platform that is redefining the HR tech space. We have grown into a global organization with offices in 6 countries and over 1,500 employees. As an HR tech unicorn, innovation and creativity are part of our DNA. Come help us make every talent moment phenomenal!

Database Architecture, Schema Design & Data Modeling: Lead the end-to-end architecture, design, and implementation of enterprise-grade database solutions with a primary focus on PostgreSQL, and Amazon Aurora. Design scalable schemas, optimize data models, and establish indexing strategies to support high-throughput, mission-critical applications.

Cluster Operations & High Availability: Design, implement, and manage highly available database clusters, ensuring resilience through replication, failover, backup, disaster recovery, and load balancing.

Performance & Production Excellence: Own the performance, scalability, and reliability of databases supporting high-criticality production applications. Diagnose and resolve complex production issues while driving continuous performance optimization.

Architecture & Technical Leadership: Provide end-to-end architectural support from solution design through production deployment. Partner with Engineering, DevOps, and Product teams to build scalable, secure, and reliable database platforms for mission-critical workloads.

What You've Done

• 8-12 years of experience as a Database Engineer, Database Administrator, or Database Architect.
• Strong hands-on expertise in PostgreSQL, and Amazon Aurora.
• Strong experience in database schema design, data modeling, normalization/denormalization, and query optimization.
• Hands-on experience managing large-scale database clusters, replication, failover, and high availability.
• Experience designing, architecting, and supporting end-to-end database solutions for business-critical, high-traffic production applications.
• Strong expertise in database performance tuning, capacity planning, troubleshooting, backup, restore, and disaster recovery.
• Experience with cloud database platforms, preferably AWS.
• Proficiency in Python, Bash, or similar scripting languages for automation.

Nice to Have

• Experience with MongoDB, Redis, Cassandra, and Elasticsearch.
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with DevOps practices and distributed systems.
• Exposure to machine learning and big data technologies.

Experience & Education

• Experience: 8-12 years
• Education: Bachelor's degree in Engineering or equivalent