Lead MongoDB

iKomet; Dadri, Pune District, Bengaluru; On-site; INR 300,000 - 600,000; Full time

Job summary

iKomet in India is seeking a MongoDB Lead to guide a large-scale legacy data modernization initiative, migrating old mainframe-based data systems into a modern MongoDB ecosystem.

The role requires deep expertise in data discovery, reverse engineering, canonical data modeling, and NoSQL schema design, with hands-on experience in MongoDB Atlas and building migration pipelines. You will mentor teams and define governance for enterprise data throughout the transformation.

Qualifications

• Deep expertise in data discovery, reverse engineering, canonical data modeling, and NoSQL schema design.
• Experience migrating legacy mainframe data systems to MongoDB.
• Hands-on experience with MongoDB Atlas and cluster configurations.

Responsibilities

• Lead end-to-end data architecture and migration strategy from legacy mainframe systems to MongoDB.
• Perform data discovery and reverse engineering of undocumented 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 cluster.

Skills

MongoDB

NoSQL data modeling

Data migration

Mainframe data analysis

Canonical data modeling

Data governance

Tools

MongoDB Atlas

ETL pipelines

Job description

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 modern 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