Principal Solutions Architect

MongoDB MongoDB · Enterprise · France · Remote · AMP, Sales

MongoDB is seeking a Principal Solutions Architect to support the sales and delivery of application modernization engagements using a combination of GenAI and deterministic tools. The role involves analyzing legacy code, transforming it to modern frameworks on MongoDB, and automating modernization tasks. The Solutions Architect will facilitate technical workshops, deliver complex demonstrations, and strategize with sales teams to drive account plans. Experience with modern software development, distributed systems, and cloud platforms is required, with a preference for experience in data engineering or AI/ML projects.

What you'd actually do

  1. Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
  2. Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
  3. Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  4. Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
  5. Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity

Skills

Required

  • Experience designing with scalable and highly available distributed systems in the cloud and on-prem
  • Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
  • Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
  • Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
  • Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
  • Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
  • The ability to travel up to 25%

Nice to have

  • Experience selling databases and/or deploying applications with any of the major cloud providers
  • Experience with database programming and data models
  • Experience in data engineering or AI/ML projects
  • Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
  • Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
  • A MongoDB Certification
  • A Cloud Provider Certification

What the JD emphasized

  • customer facing role
  • pre-sales with enterprise software
  • modern scripting languages
  • popular programming languages
  • modern software development processes
  • application architectures
  • scalable and highly available distributed systems
  • technical workshops
  • discovery sessions
  • customer architects
  • developers
  • business leaders
  • complex demonstrations
  • multiple applications
  • Docker
  • Github Codespaces
  • presentation
  • communication
  • interpersonal skills
  • complex technical and business concepts
  • technology and business leadership
  • strategize with sales teams
  • recommendations
  • multi-threaded account strategy
  • MongoDB and ecosystem resources
  • mutually beneficial account plan
  • travel up to 25%
  • data engineering
  • AI/ML projects
  • transforming legacy systems and platforms
  • modern, scalable, and efficient technology stacks