Senior Solutions Architect

MongoDB MongoDB · Enterprise · Hong Kong · Solutions Consulting, APAC

This role is for a Senior Solutions Architect at MongoDB, focusing on pre-sales to help customers design and build scalable systems using MongoDB's data platform. The role involves advising customers on architecture, collaborating with sales teams, and generating demand. While the company is redefining the database for the AI era and mentions RAG and AI architectures, the core responsibilities of this role are centered around the data platform and pre-sales technical advisory, not direct AI/ML model development or deployment.

What you'd actually do

  1. Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
  2. Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
  3. Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
  4. Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
  5. Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction

Skills

Required

  • customer facing role
  • pre-sales
  • enterprise software
  • modern scripting languages (Python, Node.js, SQL)
  • popular programming languages (C/C++, Java, C#)
  • scalable and highly available distributed systems
  • cloud and on-prem deployment
  • customer architecture review
  • presentation skills
  • communication skills
  • interpersonal skills
  • Cantonese language proficiency
  • travel up to 50%

Nice to have

  • selling databases
  • deploying applications with major cloud providers
  • database programming
  • data models
  • data engineering
  • AI/ML projects
  • transforming legacy systems
  • sales methodologies/frameworks (MEDDPICC/ Command of the Message)
  • MongoDB Certification
  • Cloud Provider Certification

What the JD emphasized

  • minimum 3 years of experience in pre-sales with enterprise software
  • 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
  • Experience designing with scalable and highly available distributed systems in the cloud and on-prem
  • Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
  • 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.
  • The ability to communicate in Cantonese, with business level proficiency