Job Description

We are seeking an experienced NoSQL Data Architect / Data Engineer to manage and maintain our MongoDB environments across development, testing, and production. The ideal candidate will be responsible for ensuring database performance, integrity, and security, as well as assisting developers in optimal data modeling and query performance. Having experience in other noSQL DB would be advantage.

Architect Document-Based Data Models:
Lead the transformation of normalized relational schemas into optimized MongoDB document models, balancing performance, scalability, and maintainability.MongoDB Infrastructure Engineering:
Install, configure, and maintain MongoDB instances in standalone, replica set, and sharded cluster environments.Performance & Scalability:
Implement sharding and replication strategies. Tune queries and indexes for optimal performance. Conduct capacity planning and infrastructure scaling.Automation & DevOps Integration:
Automate database operations using scripting (Bash, Python, PowerShell) and tools like Ansible or Terraform. Integrate MongoDB workflows into CI/CD pipelines.Monitoring & Observability:
Use tools like Prometheus, Grafana, and MongoDB Ops Manager/Cloud Manager to monitor performance, availability, and security.Security & Compliance:
Apply role-based access control, authentication, and encryption. Collaborate with InfoSec teams on audits and compliance.Collaboration & Enablement:
Work closely with developers and data engineers to optimize data models and queries. Provide guidance on MongoDB best practices and new features.Documentation & Governance:
Maintain system documentation, policies, and procedures. Establish standards for schema design and data governance

Job Type: Contract
Contract length: 12 months

Benefits:

Health insurance Opportunities for promotion Professional development
Work Location: In person