Lead MongoDB Architect | MongoDB Atlas | Data Migration

Lead MongoDB Architect / MongoDB Lead

Experience: 6-10 Years
Location: Noida / Bangalore / Pune / Indore
Joining: Immediate to 30 Days Preferred
Interview Process: Includes Client Round

Job Overview

We are looking for an experienced MongoDB Lead / MongoDB Architect to lead a large-scale legacy data modernization and migration initiative.

The role requires strong hands-on expertise in MongoDB architecture, MongoDB Atlas, NoSQL data modeling, RDBMS-to-MongoDB migration, data transformation, and large-scale data architecture.

Key Responsibilities

• Lead end-to-end data architecture and migration strategy from legacy and RDBMS systems to MongoDB.
• Design optimized MongoDB document models, collections, embedding and referencing strategies.
• Build canonical and enterprise data models.
• Design data migration, transformation, cleansing and reconciliation strategies.
• Develop scalable data migration frameworks and pipelines.
• Work with MongoDB Replica Sets, Sharding, Indexing and Aggregation Framework.
• Configure and manage MongoDB Atlas clusters.
• Perform MongoDB performance tuning and optimization.
• Design APIs on top of MongoDB Atlas.
• Ensure data consistency, integrity and reconciliation during migration.
• Define data governance, metadata and lineage frameworks.
• Support validation, testing and post-migration stabilization.
• Collaborate with stakeholders to identify data relationships and business rules.
• Mentor teams on MongoDB, NoSQL design and migration best practices.

Mandatory Skills

• Strong hands-on experience with MongoDB and MongoDB Atlas
• Strong experience in NoSQL data modeling and schema design
• Experience in Data Migration from RDBMS / SQL to MongoDB
• MongoDB Replica Sets, Sharding, Indexing and Aggregation Framework
• MongoDB Performance Tuning and Optimization
• Experience with Document Data Modeling
• Schema design using Embedding vs Referencing
• Data transformation, cleansing and reconciliation
• Experience with ETL / ELT processes
• Experience with Python, Spark or Data Pipelines
• Experience in configuring and managing MongoDB Atlas clusters

Good to Have

• Legacy system modernization experience
• Mainframe data exposure including VSAM, COBOL Copybooks, Flat Files or Hierarchical Data
• Data discovery and reverse engineering
• GCP experience
• Data Governance, Metadata and Data Lineage
• Banking, Insurance or Government legacy systems
• MongoDB Developer / DBA Certification

Preferred Profile

We are looking for candidates who have worked on complex, large-scale MongoDB migration or modernization programs and can independently lead data architecture, migration strategy and MongoDB design decisions.

Immediate to 30-day joiners preferred.