Job Description

Description

We are seeking a highly experienced MongoDB Lead to lead a large-scale legacy data modernization initiative, involving migration of old mainframe-based data systems into a contemporary MongoDB ecosystem.

This role requires deep expertise in data discovery, reverse engineering, canonical data modeling, and NoSQL schema design, along with the ability to handle highly complex, undocumented legacy systems.
- Lead end-to-end data architecture and migration strategy from legacy mainframe systems to MongoDB
- Perform data discovery and reverse engineering of undocumented / poorly documented systems
- Analyze mainframe data structures (VSAM, flat files, hierarchical data, etc.)
- Define and design canonical data models for enterprise-wide usage
- Design optimized MongoDB document models (collections, embedding, referencing)
- Establish data transformation, cleansing,



and mapping strategies
- Build data migration frameworks, pipelines and data Archival strategy
- Ensure data consistency, integrity, and reconciliation during migration
- Implement MongoDB best practices (indexing, sharding, replication, performance tuning)
- Collaborate with business stakeholders to understand implicit data relationships and rules
- Define data governance, metadata, and lineage frameworks
- Support validation, testing, and post-migration stabilization
- Mentor teams on NoSQL design principles and migration approaches
- API design on the top of the MongoDB Atlas
- Hands on experience in configuring MongoDB Atlas clusterRole & responsibilities

📌 Lead MongoDB (Bengaluru)
🏢 iKomet
📍 Bengaluru