Role: Data Engineer Location: Dallas, TX
Contract: 6-9+ months.
Experience: 10+ years
Job Description :
We are seeking a highly experienced Database Architect / MongoDB Data Platform
Architect to lead the design and implementation of a next-generation MongoDB-based data platform
supporting an enterprise automation solution.
The architect will be responsible for defining scalable data models, designing ingestion and
validation frameworks, implementing data governance standards, and enabling reliable,
high-volume data processing to support workflow orchestration, analytics, AI-driven decision making, and operational automation.
This role requires deep expertise in MongoDB architecture, large-scale NoSQL data platforms,
streaming and batch data ingestion, schema governance, and cloud-native application architectures.
Key Responsibilities
Data Platform Architecture
Enterprise Data Modeling
Schema Management & Data Evolution
Multi-Tenancy & Data Governance
Data Ingestion Architecture
Validation & Data Quality Frameworks
Data Processing & Enrichment
Platform Observability & Monitoring
Performance & Scalability
Integration & Automation
Mandatory Technical Skills
Database & Data Platform
MongoDB Enterprise / Atlas
MongoDB Sharding & Replication
Aggregation Framework
Atlas Search
Schema Design & Optimization
Data Modeling for NoSQL platforms
Backup & Recovery Architecture
Data Engineering
Data Ingestion Frameworks
JSON Schema Validation
Data Governance
Data Quality Management
Data Migration Strategies
Metadata Management
Master Data Management (MDM)
Streaming & Event Platforms
Kafka
Event-Driven Architecture
CDC (Change Data Capture)
Streaming Data Processing
Cloud & Containers
Kubernetes
OpenShift
Docker
AWS / Azure / Google Cloud Platform
Programming
Python
Java
Node.js
Shell Scripting
DevOps
Git
CI/CD
Terraform
Ansible
GitOps Practices
