Solutions Architect / Sr. Solutions Architect
Pre-sales Solutions Architect who designs scalable MongoDB-based systems, advises customers on architecture and business value, and partners with sales teams through technical discovery, demos, proofs of value, and deal execution. Requires 5–8 years of industry experience, customer-facing communication skills, and a bachelor’s degree or equivalent.
About the job
Responsibilities
- Design scalable and performant applications, systems, and infrastructure for large software projects leveraging MongoDB.
- Guide customers on architecture patterns and optimization strategies for MongoDB, and communicate business value to technical and business stakeholders.
- Collaborate with sales teams on account planning, opportunity qualification, pipeline generation, technical discovery, demos, proof of value, presentations, sizing, and documentation.
- Generate demand through technical initiatives, industry trade shows, and account-based marketing events.
- Foster customer relationships, build champions, and ensure customer success and satisfaction.
- Identify opportunities to improve MongoDB solutions and processes, relay field feedback to the product team, and mentor Solutions Consulting team members.
- Participate in ongoing training and professional development.
Requirements
- 5–8 years of related industry experience, ideally including 2 years in a customer-facing role.
- At least 2 years of professional experience with modern scripting languages such as Python, Node.js, or SQL, and/or programming languages such as C/C++, Java, or C#.
- Experience implementing scalable, highly available distributed systems in cloud and on-premises environments.
- Experience reviewing complex application architectures and advising customers on technology improvements.
- Excellent presentation, communication, and interpersonal skills.
- Ability to explain complex technical and business concepts to technology and business leadership.
- Ability to work with cross-functional sales teams through the complete deal cycle.
- Ability to travel up to 25%.
- Bachelor’s degree or equivalent work experience.
Nice to Have
- Experience developing, deploying, or supporting applications with major cloud providers.
- Technical pre-sales experience.
- Experience with database programming and data models.
- Experience in data engineering or AI/ML projects.
- Familiarity with MEDDPICC or Command of the Message.
- MongoDB certification.
- Cloud provider certification.
Technologies and Development Areas
- MongoDB Core Database Server, Atlas, Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, Charts, and Relational Migrator.
- Hyperscaler cloud services and complementary technologies such as Apache Kafka and Kubernetes.
- Microservices, DevOps, cloud, security, RAG, and generative AI architectures.
Skills
MongoDB, Python, Node.js, SQL, C++, Java, C#, Cloud Computing, Distributed Systems, Apache Kafka, Kubernetes, DevOps, Microservices, Generative AI, RAG
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