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 organization, innovation and creativity is within our DNA. Come help us make every talent moment Phenomenal! What You'll Do:
Database Architecture & Design: Lead the design, implementation, and scaling of databases across multiple platforms including Mongo DB, Cassandra, Redis, Postgres, My SQL, and Elasticsearch to ensure scalability, performance, and reliability.
Performance Tuning & Optimization: Diagnose, troubleshoot, and resolve complex performance issues in production databases; implement best practices for indexing, replication, partitioning, and sharding.
High Availability & Disaster Recovery: Architect solutions for database backup, failover, disaster recovery, and load balancing.
Data Security & Compliance: Ensure the security of the database systems, adhering to data governance and compliance policies.
Collaboration & Leadership: Collaborate with cross-functional teams including Data Engineering, Dev Ops, and Product Development to integrate database solutions with broader system architecture.
Mentorship: Mentor and provide technical leadership to junior engineers and database administrators.
Automation: Drive the automation of routine tasks to improve efficiency, including the use of scripts for database maintenance, monitoring, and upgrades.
Technology Evaluation: Stay up-to-date with the latest database technologies and tools, evaluating and recommending the adoption of new solutions where appropriate.
What You've Done:
Proven experience as a Database Engineer/Architect with expertise in Mongo DB, Cassandra, Redis, Postgres, My SQL, and Elasticsearch.
Strong understanding of database design, optimization, and administration across both SQL and No SQL platforms.
Proficiency in database performance tuning, capacity planning, and troubleshooting.
Experience with cloud-based database solutions (e.g., AWS / Azure) is highly desirable.
Knowledge of data replication, clustering, partitioning, and sharding techniques.
Hands-on experience with database backup, restore, and recovery procedures.
Strong programming and scripting skills (Python, Bash, or similar).
Experience working in Agile/Scrum environments.
Excellent problem-solving, analytical, and communication skills.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Preferred Skills:
Experience with containerization technologies like Docker and Kubernetes.
Familiarity with CI/CD pipelines and Dev Ops practices.
Understanding of machine learning and big data technologies.
Experience & Education:
Relevant experience 8 to 12 years
Engineering degree or Sixteen years of fulltime education.