MongoDB Senior Solutions Architect Search Specialist 

Spain 

115628259

This role will be based remotely in Spain.

• 3+ years of search expertise (Elasticsearch, Lucene, Solr, Algolia, Lucidworks, or similar)
• 3+ years of software development experience
• 3+ 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, etc) and/or popular programming languages (e.g. C, C++, C#, Java, etc)
• Experience with scalable and highly available distributed systems
• Excellent presentation and interpersonal skills
• A Bachelor’s degree or equivalent work experience
• Ability to travel approximately 20% of the time

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• A MongoDB Certification
• A major cloud provider certification

• Design systems, applications, and infrastructure to help drive software development projects using MongoDB and the Atlas Developer Data Platform (DDP)
• Advise customers on architectures, patterns, and strategies for making the best use of MongoDB
• Expertly articulate the business value of MongoDB solutions
• 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, collecting feedback from the field to relay back to the Product Management team
• Help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• Demonstrate resilience and sound judgment in dealing with business challenges
• Proactively seek opportunities to support and mentor other pre-sales team members and share standard methodologies
• Help enable other solutions architects with knowledge on search technical and business concepts as well as build tools to allow other SAs to demonstrate these concepts
• Assist in the direction of Vector Search and AI/ML through taking customer needs and interactions to Product Management
• Embody in our interactions with internal teams and customers

• The rapidly growing MongoDB product suite, including
• Core database server
• Atlas (fully managed cloud database service)
• The Atlas Developer Data Platform including Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Atlas for the Edge, Realm, Charts, and Atlas Streams Processing
• 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, DevOps, cloud, security