Mongodb Database Architect

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.

By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.

From prototype to real-world impact - be part of a global shift by doing work that matters.

Key Responsibilities

• Database Design & Architecture: Design and implement robust MongoDB database structures, including effective data models, schema design, indexing strategies, and sharding configurations for optimal performance and scalability to millions of transactions.
• Performance Optimization: Analyze and tune database performance by optimizing queries, indexes, and aggregation pipelines. Implement caching mechanisms and efficient data retrieval strategies to achieve low-latency, high-throughput operations.
• Scalability & High Availability: Architect solutions for high availability and horizontal scaling (e.g. using replica sets and sharding). Ensure continuous operation and capacity to handle growing data volumes and real-time load without service interruption.
• Security & Compliance: Implement robust security measures for MongoDB, including authentication, authorization, encryption, and data governance. Ensure compliance with relevant industry standards and regulations (e.g. PCI DSS, GDPR) to protect sensitive financial data.
• Backup & Disaster Recovery: Develop and maintain comprehensive backup strategies and disaster recovery plans. Regularly test backups and recovery procedures to safeguard data integrity and guarantee business continuity.
• Collaboration & Guidance: Work closely with development teams (Java/Spring Boot backend, Kafka for messaging, Redis for caching) to understand application requirements. Provide guidance on MongoDB data modeling and schema design, and ensure seamless integration of the database with application and infrastructure components.
• Monitoring & Troubleshooting: Implement monitoring and alerting solutions to continuously track database health and performance. Proactively identify bottlenecks or issues and troubleshoot them to maintain optimal system operation and minimize downtime.
• Automation & Tooling: Automate routine database tasks (deployments, scaling, backups, indexing, etc.) using scripting and appropriate DevOps tools. Streamline operational processes to reduce manual effort and error.
• Research & Innovation: Stay up-to-date with the latest MongoDB features, best practices, and ecosystem tools. Evaluate new technologies or approaches (e.g. improved scaling techniques, new storage engines, cloud services) and recommend enhancements to improve our data architecture.

• Required Skills and Qualifications

• Deep Expertise in MongoDB: Strong proficiency in MongoDB architecture, administration, and performance tuning (query optimization, indexing, sharding, replication, etc.).
• NoSQL & Distributed Databases: Experience with other NoSQL databases and a solid understanding of distributed database concepts (consistency, partitioning, replication strategies).
• Cloud Experience: Familiarity with deploying and managing MongoDB in cloud environments, including MongoDB Atlas or self-managed instances on AWS/GCP/Azure.
• Programming & Scripting: Proficiency in scripting languages (e.g. Python, Bash) and experience with programming languages commonly used with MongoDB (especially Java/Spring Boot; knowledge of is a plus) for integrating the database with applications.
• Messaging/Caching Ecosystem: Experience integrating MongoDB within systems that use message brokers (e.g. Apache Kafka) and caching layers (e.g. Redis) to ensure data consistency and high performance across the stack.
• Problem-Solving Skills: Excellent analytical and troubleshooting abilities to diagnose and resolve complex database issues under pressure.
• Communication Skills: Strong communication skills to collaborate effectively with both technical and non-technical stakeholders, including developers, DevOps engineers, and product managers.

• Preferred Qualifications (Nice to Have)

• Industry Experience: Experience in the fintech, payment processing, or cross-border payments domain, understanding the unique challenges of high-volume transactional systems (not mandatory but a plus).
• Compliance Knowledge: Familiarity with financial data compliance and security standards (e.g. PCI DSS, GDPR) and experience implementing solutions that meet these standards.
• Certifications: Relevant certifications such as MongoDB Certified DBA/Architect or related cloud/database certifications can be an advantage.

This requirement is open for Bangalore location only.

At Endava, we're committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.