MongoDB Architect/Developer

ProPhecy Technologies • Certification required • Python • ETL/ELT • AWS Glue • 15 days ago
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≈ $28k – $71k per year (Estimated)
Location
In office (Chennai, Bengaluru)
Seniority
Staff · 5+ years exp

First seen by Alion on Sep 16, 2026.

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ProPhecy Technologies

I n n o v a t i n g T o m o r r o w T o d a y. Prophecy Technologies - Unlock business potential with Prophecy Technologies—driving growth through AI optimization, digital solutions, and modernized infrastructure for seamless customer engagement.
prophecytechs.com • Bengaluru • Hyderabad • Chennai • Mumbai • Cuauhtémoc
Tech stack of ProPhecy Technologies

HIRING ALERT | MONGODB ARCHITECT / DEVELOPER .

We are looking for an experienced MongoDB Architect / Developer with strong expertise in MongoDB Atlas, complex data modeling, migration, performance optimization, cloud infrastructure, and enterprise integrations.

Role Details.

Role : MongoDB Architect / Developer.

Location : Bangalore, India.

Experience : 5+ Years.

Platform : MongoDB Atlas / AWS.

Certification : Active MongoDB Certification - Mandatory.

Key Skills :

- MongoDB & MongoDB Atlas.

- Complex & deeply nested document modeling.

- Schema Design & Schema Evolution.

- Data Migration & ETL Pipelines.

- MongoDB Aggregation Framework.

- Indexing & Query Optimization.

- MongoDB Atlas Search & Vector Search.

- Change Streams & Triggers.

- Atlas Data Federation.

- JSON Schema Validation.

- Sharding & Replica Sets.

- Atlas Security, RBAC & Encryption.

- Backup, DR, PITR & High Availability.

- Performance Tuning & Capacity Planning.

- AWS S3 / AWS Glue / PySpark.

- REST API Integration & Enterprise Systems.

- Docker / Cloud / DevOps exposure.

Key Responsibilities :

- Design and implement scalable MongoDB document schemas for Quote, Contract, Opportunity and Customer data.

- Lead DART - MongoDB Atlas migration and data-quality validation.

- Build aggregation pipelines, indexes and data validation frameworks.

- Optimize MongoDB performance, queries and bulk-load operations.

- Implement change streams and downstream integrations.

- Manage Atlas clusters, sharding, security, monitoring and backups.

- Support AI/ML workloads using Atlas Vector Search and Data Federation.

- Establish performance baselines, load testing and capacity planning.

- Ensure data lineage, reliability, security and enterprise-grade availability.

Required Experience :

- 5+ years of professional MongoDB production experience.

- 2+ years hands-on experience with MongoDB Atlas.

- 3+ years designing complex, deeply nested document structures.

- Experience with enterprise-grade, multi-tenant / multi-region workloads.

- Strong understanding of MongoDB performance and scalability.

- Active MongoDB Certification - Mandatory.

Skills

MongoDB, Database Architect, Database Architecture, Atlas, AWS, Database Shard, VectorDB, Data Modeling

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