Description We are seeking a highly experienced MongoDB Architect 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 cluster

Role MongoDB & NoSQL Expertise

- Deep hands-on experience with MongoDB architecture
- Migrating from RDBMS/SQL to MongoDB/NoSQL
- Knowledge of MongoDB (Replica Sets, Sharding, Aggregation Framework)




- Familiarity with GCP cloud platforms

- Robust expertise in

- Document data modeling
- Schema design (embedding vs referencing)
- Indexing, aggregation framework

- Sharding and replication

? Data Modeling & Architecture

- Expertise in canonical data modeling

- Strong experience in

- Data normalization vs denormalization
- Designing enterprise-wide data models
- Mapping legacy data to modern schemas

? Data Migration & Engineering

- Experience in large-scale data migration programs (Migrating from RDBMS/SQL to MongoDB/NoSQL)

- Knowledge of

- ETL/ELT processes

- Data transformation and cleansing

- Data reconciliation techniques
- Experience with tools like Spark / Python / data pipelines

? Legacy System Understanding (Good to have)

- Strong experience with mainframe data systems

- Knowledge of

- VSAM files

- COBOL copybooks
- Flat files / hierarchical data structures
- Ability to work with missing or undocumented codebases

? Problem Solving & Analysis

- Strong analytical skills to interpret legacy data without documentation
- Ability to infer business rules from data patterns

? Performance & Scalability

- Experience in performance tuning MongoDB workloads
- Ability to design for high-volume, high-velocity data systems

⭐ Preferred Qualifications

- Experience in banking / insurance / government legacy systems
- Exposure to data governance frameworks
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Experience with data cataloging and metadata tools
- MongoDB certifications (Developer/DBA)

Maximum Years Of Experience 10

Minimum Years Of Experience 6

MongoDB, Migration, AWS

Minimum Years Of Experience 6

📌 Lead MongoDB (Indore)
🏢 Impetus
📍 Indore