Sr Data Platform Engineer - MongoDB

GHX

21h•$114,000 - $152,000•Hybrid

About The Position

Reporting to the Manager, Database Administration, the Sr Data Platform Engineer - MongoDB will provide expert-level MongoDB database design, development, maintenance, and problem resolution services for internal and external customers. They will manage highly resilient MongoDB infrastructure across on-premises and cloud environments (AWS) utilized by GHX DaaS/SaaS solutions. The Sr MongoDB DBA will work with various operational and development teams to plan, design, implement, and support core MongoDB database functionality that meets company initiatives with respect to performance, scalability, reliability, and adherence to operational policies and principles.

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)

Nice To Haves

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

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