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
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 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
- Strong expertise in:
- Document data modeling
- Schema design (embedding vs referencing)
- Indexing, aggregation framework
- Sharding and replication

?
Data Modeling & Architecture
- Expertise in canonical data modeling
- St

📌 Lead MongoDB (Indore)
🏢 Impetus
📍 Indore