Uttar Pradesh Data warehousing architects Jobs – 32 Open Jobs Today

Lead MongoDB
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- SQL
- AWS
2h
Data Modeler - Associate Manager
Iris Software —Noida, Uttar Pradesh
- SQL
- Agile
- Communication skills
- Health insurance
22h
Lead Solution Architect - Data and Analytics
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
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1d

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Data Modeler - Associate Manager
Iris Software —Noida, Uttar Pradesh
Experience working with structured and semi-structured data. Ability to translate business requirements into data models. Experience with data catalog tools.
22h

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Lead MongoDB

Impetus Technologies -
Noida, Uttar Pradesh

Apply Now

Job details

2 hours ago

Qualifications

RDBMS
Performance tuning
Data modelling
Azure
Data migration
Spark
NoSQL
MongoDB
SQL
AWS
Analysis skills
COBOL
APIs
ETL
Scalability
Metadata
Banking
Python

Full job description

Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Pune, Maharashtra, India;Indore, Madhya Pradesh, India

Qualification

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
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
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

Minimum Years Of Experience

Skills Required

MongoDB, Migration, AWS

Role

Description

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
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

Minimum Years Of Experience

Experience

6 to 10 years

Job Reference Number

13867

Apply Now

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data warehousing architects jobs in uttar pradesh

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Lead Solution Architect - Data and Analytics

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