Job Summary

Experienced Database Architect to lead the modernization of its flagship product, which currently uses the object-oriented database, to a up-to-date, scalable object-oriented data platform such as MongoDB (or equivalent).

This role is critical to defining the target data architecture, migrating complex object models, and ensuring performance, scalability, and long-term maintainability of data layer.

The architect will work closely with product engineering, CAD domain experts, and solution architects to deliver a robust database transformation. Key Responsibilities

- Own the end-to-end database architecture for migrating existing OODBMS to MongoDB or a suitable object-oriented NoSQL database
- Analyze existing object schemas, relationships, inheritance hierarchies, and lifecycle behaviors
- Define target object-oriented data models optimized for MongoDB, including:
- Embedded vs referenced objects
- Inheritance and polymorphism strategies
- Versioned object structures
- Design and implement data migration strategies ensuring:
- Data integrity and consistency
- Minimal downtime and risk
- Backward compatibility where required
- Define standards for:
- Schema evolution and versioning
- Indexing, sharding, and replication
- Performance optimization for CAD-heavy workloads
- Collaborate with application teams to align object persistence patterns with MongoDB access patterns
- Architect high-availability and scalable MongoDB deployments (on-prem and/or cloud)
- Validate performance, scalability, and correctness of the new database architecture
- Produce architecture documents, migration playbooks, and technical guidelines Required Skills/Abilities:

Object-Oriented Database & Data Modeling





- Strong hands-on experience with object-oriented databases or object persistence frameworks • Deep understanding of:
- Object identity, inheritance, composition, and relationships
- Object lifecycle and transactional behaviour
- Proven experience mapping object models to document-based databases MongoDB Expertise • Strong solutioning and implementation experience with MongoDB:
- Schema design for complex object graphs
- Aggregation pipelines and indexing strategies
- Transactions and consistency models
- Experience designing large-scale MongoDB deployments
- Hands-on experience with MongoDB Atlas or self-managed clusters is a plus Migration & Modernization
- Demonstrated experience migrating from:
- Legacy proprietary databases to MongoDB or NoSQL platforms
- Experience defining:
- Data extraction, transformation, and loading (ETL) strategies
- Validation, reconciliation, and rollback approaches Application & Technology Stack
- Strong understanding of application stacks using:
- C++ / Java / .NET–based object models
- Experience integrating MongoDB with complex engineering software
- Understanding of CAD/engineering data structures is highly desirable Preferred / Good-to-Have Skills
- Experience with CAD, BIM, PLM, or engineering design platforms
- Knowledge of hybrid persistence approaches (polyglot persistence)
- Exposure to event-driven architectures or microservices
- Familiarity with DevOps practices for database operations (CI/CD, monitoring, backups) Non-Technical Skills
- Strong analytical and problem-solving skills
- Ability to work with legacy systems and complex codebases
- Clear communication with product, engineering, and leadership teams
- Experience mentoring teams and reviewing data designs

📌 Database Architect (Maharashtra)
🏢 Neilsoft
📍 Maharashtra