Advisory Solutions Architect
Advises enterprise customers on designing scalable MongoDB-based architectures and partners with sales teams to drive technical discovery, demonstrations, proofs of value, and account success. Requires substantial customer-facing pre-sales experience, distributed-systems expertise, and strong communication skills.
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 while communicating business value to technical and business stakeholders.
- Collaborate with sales teams on account planning, opportunity prioritization and qualification, pipeline generation, technical discovery, demonstrations, proofs 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.
- Improve MongoDB solutions and processes by relaying field feedback to the product team.
- Mentor other Solutions Consulting team members.
- Participate in ongoing product and professional development.
Requirements
- 8–11 years of related experience in a customer-facing role, including 5–7 years in pre-sales with enterprise software.
- At least 3 years of professional experience with scripting or programming languages such as Python, Node.js, SQL, C/C++, Java, or C#.
- Experience designing scalable, highly available distributed systems in cloud and on-premises environments.
- Experience reviewing complex application architectures and recommending technology improvements.
- Excellent presentation, communication, and interpersonal skills.
- Ability to strategize with sales teams and coordinate technical and ecosystem resources.
- Ability to travel up to 25%.
- Bachelor’s degree or equivalent work experience.
Nice-to-haves
- Experience selling databases or deploying applications with major cloud providers.
- Database programming and data modeling experience.
- Experience with data engineering or AI/ML projects.
- Experience modernizing legacy systems and platforms.
- Familiarity with MEDDPICC or Command of the Message.
- MongoDB or cloud provider certification.
Compensation and benefits
- Employee affinity groups.
- Fertility assistance.
- Generous parental leave policy.
Skills
MongoDB, Mongodb Atlas, Python, Node.js, SQL, Java, C#, C++, Distributed Systems, AWS, GCP, Microsoft Azure, Apache Kafka, Kubernetes, DevOps
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