Lead Architect

iKomet; Dadri, Pune District, Bengaluru; Hybrid; INR 1,500,000 - 2,600,000; Full time

Job summary

iKomet is hiring a senior data architecture specialist in India to lead MongoDB migration from legacy systems. You will design canonical data models, optimize schemas, and implement Atlas with sharding, replication, indexing and performance tuning.

You will build data pipelines, define data rules, and mentor teams on NoSQL best practices across platforms including GCP. The role emphasizes collaboration with stakeholders to map undocumented relationships and ensure robust API design on MongoDB

Qualifications

• Lead MongoDB/NoSQL data architecture and large-scale migration from legacy/mainframe systems to MongoDB.
• Design canonical data models and optimized MongoDB schemas (embedding/referencing).
• Handle data discovery, reverse engineering, transformation, cleansing, mapping and reconciliation.
• Implement MongoDB Atlas, sharding, replication, indexing, aggregation and performance tuning.
• Develop migration frameworks, data pipelines and archival strategies.
• Collaborate with stakeholders to identify business rules and undocumented data relationships.
• Support API design on MongoDB Atlas and mentor teams on NoSQL best practices.

Responsibilities

• Lead MongoDB data architecture and large-scale migration from legacy/mainframe systems to MongoDB.
• Design canonical data models and optimized MongoDB schemas (embedding/referencing).
• Handle data discovery, reverse engineering, transformation, cleansing, mapping and reconciliation.
• Implement MongoDB Atlas, sharding, replication, indexing, aggregation and performance tuning.
• Develop migration frameworks, data pipelines and archival strategies.
• Collaborate with stakeholders to identify business rules and undocumented data relationships.
• Support API design on MongoDB Atlas and mentor teams on NoSQL best practices.

Skills

MongoDB/NoSQL

Data Migration

AWS

Python

ETL/ELT

Data Pipelines

MongoDB Atlas

Sharding & Replication

RDBMS to MongoDB migration

Data Modeling & Schema Design

Tools

MongoDB Atlas cluster configuration

SQL to MongoDB migration tooling

GCP

Job description

Role & Responsibilities

• Lead MongoDB data architecture and large-scale migration from legacy/mainframe systems to MongoDB.
• Design canonical data models and optimized MongoDB schemas (embedding/referencing).
• Handle data discovery, reverse engineering, transformation, cleansing, mapping and reconciliation.
• Implement MongoDB Atlas, sharding, replication, indexing, aggregation and performance tuning.
• Develop migration frameworks, data pipelines and archival strategies.
• Collaborate with stakeholders to identify business rules and undocumented data relationships.
• Support API design on MongoDB Atlas and mentor teams on NoSQL best practices.

Preferred Candidate Profile

• 610 years of overall experience with strong hands-on MongoDB/NoSQL expertise.
• Mandatory: MongoDB + Data Migration + AWS.
• Strong experience in RDBMS/SQL to MongoDB migration, data modeling and schema design.
• Hands-on experience with MongoDB Atlas cluster configuration, sharding, replication and performance tuning.
• Experience with Python/Spark, ETL/ELT and data pipelines.
• Good to have: Mainframe, VSAM, COBOL copybooks, flat files/hierarchical data.
• Experience with GCP and banking/insurance/government legacy systems is an advantage.
• Locations: Noida / Bangalore / Pune / Indore.