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About the role
MongoDB is the modern database platform and consistently voted the #1 most wanted database, preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software.
To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB.
As a Forward Deployed Architect in our ISV Practice, you will be the technical design lead for engagements with independent software vendors (ISVs). You will work with ISV development leaders, senior engineers, and Forward Deployed Engineers to design how MongoDB integrates with and extends the partner’s product.
This is an application architecture role, not a database administration or database consulting role. You will ensure that the designs implemented by the team are practical, production-ready, and reusable across future partner engagements.
Learn more about #LifeAtMongoDB here!
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
WHAT YOU’LL DO AT MONGODB
Lead technical design for ISV engagements by understanding partner architecture and delivery models, then defining MongoDB data models, access patterns, indexing, and integration approaches for products serving different industries
Design MongoDB as a supported platform option alongside Oracle, PostgreSQL, or SQL Server, including persistence abstractions, feature parity, backend-specific behavior, and certification requirements
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Design coexistence architectures and migration paths, including data flows, synchronization, consistency, application refactoring, dual-run strategies, validation, and controlled cutover
Lead design reviews, provide technical direction, and review schemas, queries, indexes, MongoDB-related code, and performance against realistic partner workloads
Design solutions across MongoDB Atlas, Enterprise Advanced, Kubernetes-based private clouds, and self-managed or air-gapped on-premises environments
Build reusable architecture patterns, migration playbooks, code templates, decision frameworks, and other assets that make future partner engagements faster and more consistent
Stay hands-on by reading partner code and prototyping critical paths, act as the technical escalation point for Forward Deployed Engineers, and share recurring technical gaps and patterns with MongoDB Product and Engineering teams
AS AN IDEAL CANDIDATE, YOU WILL HAVE
8+ years of experience in backend engineering and application architecture, delivering production software products
Strong application-side MongoDB expertise, including access-pattern-driven data modeling, aggregation, indexing, transactions, change streams, replication, sharding, and sizing
Application-level experience with at least one major relational database and integrating a new database into a large production codebase, including persistence abstraction, data synchronization, dual-write or CDC patterns, transactional boundaries, and incremental rollout
Experience designing migrations of production workloads between relational databases and MongoDB
Strong SaaS and product-engineering knowledge, including multi-tenancy, tenant isolation, versioned schemas, backward compatibility, and managed-cloud, Kubernetes-based private-cloud, or self-managed on-premises deployments
The ability to influence engineers and stakeholders without formal authority through technically sound, practical designs; explain trade-offs clearly; identify risks early; and balance delivery speed, quality, and long-term maintainability
Willingness to travel regularly to ISV partner locations
AS AN IDEAL CANDIDATE, YOU MAY ALSO HAVE
Experience working inside an ISV or product company, including in a forward-deployed, resident-architect, embedded-architect, or similar technical delivery role
Familiarity with event-driven architectures and technologies such as Kafka or Debezium
Experience with regulated or data-intensive industries and their security, compliance, and data-governance requirements
MongoDB certification, MongoDB Atlas experience, or experience with MongoDB’s broader product portfolio
WHAT YOU WILL LEARN
Deepen your expertise across MongoDB Atlas, Enterprise Advanced, application development, data modeling, search, vector workloads, and the broader MongoDB ecosystem
Develop advanced experience in multi-database application architecture, database coexistence, migrations, cloud-native deployment, and the operational considerations of partner products
Work across ISV products, technology stacks, industries, and deployment environments while building reusable architecture patterns and developing your technical influence and leadership
ABOUT MONGODB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati