MongoDB Solutions Architect 

India, Haryana, Gurugram 

941178721

• Professional experience could be 8+ years, should have a strong software development background, and 2+ years of pre-sales experience with enterprise software
• Solid understanding and ability to code with two or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
• Experience with scalable and highly available distributed systems
• Once the global travel scene returns to normal post-pandemic then candidates should be open to travel within the region as required which might include travel to other countries.

• Experience selling databases and/or deploying applications with any of the major cloud providers (AWS, Google Cloud, Azure, etc.)
• Experience with database programming and data models

• Design systems, applications, and infrastructure to help drive some of the world's largest software development projects using MongoDB
• Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
• Align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• Translate technical concepts and patterns into business benefits for management and executives
• Act as a liaison, capturing feedback from the field to relay back to the Product Management team
• Help drive demand through the participation in both industry-known trade-shows as well as account-based marketing events
• Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
• Have situational awareness and react appropriately in group settings

• The rapidly growing MongoDB product suite, including
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile database), Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies, and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and a broad spectrum of exciting use cases

**MongoDB is an equal opportunities employer.**