
Database Architect - AI trainer
Required Skills
Databases
Data Modeling & Architecture Design
NoSQL
MongoDB
Database Development & Optimization
Data Integration & ETL
Job Description
Job Title: Database Architect - AI trainer
Job Type: Full-time
Location: Remote
Job Summary:
Join our customer's team as a Database Architect - AI trainer, where you'll leverage your expertise in database architecture to mentor and drive innovation in data-driven solutions. You will play a pivotal role in designing, optimizing, and integrating complex data systems, while also training AI systems and team members on best practices in data management. This is an exciting opportunity to make a significant impact in a collaborative, fully remote environment.
Key Responsibilities:
- Design and implement robust database architectures tailored for AI and data-intensive applications.
- Lead data modeling initiatives and mentor team members in effective architecture strategies.
- Develop, optimize, and maintain both NoSQL and traditional database systems, with a strong focus on MongoDB.
- Drive data integration and ETL processes to ensure seamless and efficient data flow across platforms.
- Collaborate closely with cross-functional teams to align database architectures with business objectives.
- Develop comprehensive documentation, training materials, and conduct workshops to support AI initiatives.
- Champion best practices for data management, scalability, and security within the team.
Required Skills and Qualifications:
- Proven expertise in database architecture, data modeling, and design of complex data systems.
- Hands-on experience with NoSQL databases, particularly MongoDB.
- Strong background in database development, performance tuning, and optimization.
- Proficiency in designing and implementing ETL and data integration workflows.
- Exceptional written and verbal communication skills, with a passion for clear documentation and knowledge sharing.
- Ability to work independently in a remote setting while fostering team collaboration.
- Track record of mentoring or training technical teams in database or data engineering topics.
Preferred Qualifications:
- Experience collaborating with AI or machine learning teams on data architecture projects.
- Familiarity with cloud-based database platforms and distributed data systems.
- Advanced certifications in database management or architecture.