Sr Data Platform Engineer - MongoDB

GHX is a healthcare business and data automation company that enables better patient care and maximizes savings for the healthcare community. They are seeking a Sr Data Platform Engineer - MongoDB to provide expert-level MongoDB database design, development, maintenance, and problem resolution services, while managing a resilient MongoDB infrastructure across on-premises and cloud environments.

Responsibilities:

• Design, implement, and maintain MongoDB replica sets, sharded clusters, and standalone instances across production, staging, and development environments
• Architect MongoDB solutions for high availability, disaster recovery, and horizontal scaling using sharding strategies
• Perform capacity planning and performance tuning for MongoDB workloads, including index optimization, query analysis, and WiredTiger cache management
• Monitor MongoDB cluster health using tools like MongoDB Cloud Manager, Ops Manager, or third-party monitoring solutions (Datadog, Elastic)
• Design and implement backup and recovery strategies using mongodump, Ops Manager backups, AWS snapshots, or third-party solutions
• Automate MongoDB deployment, configuration, and maintenance tasks using Infrastructure as Code (Terraform, Ansible, CloudFormation)
• Implement monitoring and alerting for MongoDB metrics including replication lag, oplog size, connection pools, cache utilization, and slow queries
• Perform MongoDB upgrades (version and patch releases) with minimal downtime using rolling upgrades and blue-green deployment strategies
• Manage MongoDB security including authentication (LDAP, x.509), authorization (RBAC), encryption at rest, and TLS/SSL configuration
• Troubleshoot production incidents including replica set failovers, performance degradation, and replication issues
• Provide guidance and mentorship to junior database engineers on MongoDB best practices, schema design, and operational procedures
• Collaborate with application development teams on MongoDB schema design, query optimization, and data modeling strategies
• Partner with DevOps and Infrastructure teams on MongoDB deployment automation, container orchestration (Kubernetes), and cloud infrastructure
• Participate in change management processes, incident response, and on-call rotation for production MongoDB clusters
• Safeguard the company's data, tools, and information systems by adhering to Operational and Security policies and procedures throughout the lifecycle of service delivery

Requirements:

• Bachelor's degree from an accredited college in CS or related discipline or equivalent experience
• 5-8 years' experience in Database Administration with at least 3 years of hands-on MongoDB experience
• Expert-level knowledge of MongoDB architecture including replica sets, sharding, oplog, WiredTiger storage engine, and index structures
• Proven experience managing MongoDB in high-transaction, high-availability production environments (24x7 uptime requirements)
• Strong understanding of MongoDB performance tuning, query optimization, and index design patterns
• Experience with MongoDB backup and recovery strategies including point-in-time recovery and disaster recovery planning
• Hands-on experience with AWS cloud services (EC2, EBS, S3, CloudWatch) and MongoDB deployment on AWS
• Experience with Linux/Unix operating systems and shell scripting (bash, Python) for automation
• Familiarity with at least one additional database platform (MySQL, PostgreSQL, MS SQL, Redis, or Elasticsearch)
• Experience with configuration management and automation tools (Terraform, Ansible, or similar)
• MongoDB Certified DBA Associate or Professional certification
• Experience with MongoDB Atlas (managed MongoDB service) or MongoDB Cloud Manager/Ops Manager
• Knowledge of NoSQL data modeling patterns and anti-patterns for document databases
• Experience with MongoDB change streams, aggregation pipelines, and time-series collections
• Familiarity with MongoDB security frameworks including LDAP integration, encryption at rest/in-transit, and audit logging
• Experience with containerized MongoDB deployments (Docker, Kubernetes, MongoDB Kubernetes Operator)
• Knowledge of MongoDB monitoring tools (PMM, Datadog, Elastic, CloudWatch)
• Strong critical thinking, analytical and problem-solving skills
• Interpersonal skills with a strong orientation towards customer service
• Excellent written and oral communications skills with demonstrated commitment to production of high-quality documentation
• Excellent team player with good experience working with departmental and cross functional teams
• Experience with Infrastructure as Code (IaC) and GitOps workflows