Design, implement, and maintain scalable database management systems. Collaborate with AI, machine learning, and data engineering teams. Provide database expertise to optimize data access, storage, and performance.
Key Highlights
Key Responsibilities
Technical Skills Required
Nice to Have
Job Description
Job Role: Database Administrator
Location: Remote
Job Type: Full-time
Key Responsibilities:
- Administer, test, maintain, and implement database management systems in scalable, high-performance environments.
- Plan, coordinate, and execute database changes while ensuring data integrity, system availability, and minimal disruption.
- Identify, analyze, and resolve complex database performance, capacity, availability, and scalability issues.
- Design, implement, and enforce database security controls to protect sensitive and mission-critical data.
- Collaborate closely with AI, machine learning, and data engineering teams to support AI model training workflows and data pipelines.
- Provide database expertise to optimize data access, storage, and performance for AI/ML use cases.
- Document database processes, architectures, and best practices clearly and accurately.
- Communicate findings, recommendations, and technical concepts effectively through written documentation and verbal discussions.
- Serve as a subject matter expert for AI-related database requirements and ongoing AI training initiatives.
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Required Skills and Qualifications:
- Proven professional experience administering, testing, and implementing database management systems.
- Strong expertise in database performance tuning, capacity planning, and scalability optimization.
- Solid understanding of database security principles, access controls, and data protection best practices.
- Excellent analytical and problem-solving skills with attention to detail.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Experience coordinating and implementing database changes in complex, production environments.
- Demonstrated ability to work cross-functionally with engineering, AI, or data science teams.
- Ability to work independently and effectively in a fully remote environment.
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Preferred Qualifications:
- Prior experience in roles such as Database Administrator, Database Engineer, DBA Manager, or similar positions.
- Hands-on experience supporting AI/ML model pipelines, data platforms, or AI training initiatives.
- Familiarity with AI/ML workflows, data labeling processes, or model lifecycle support.
- Relevant certifications in database technologies or cloud data platforms.
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