Solutions Architect, German speaker

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5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
Minimum of 2 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 implementing 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.
Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle.
A Bachelor’s degree or equivalent work experience
Must have fluency in German language both verbal and written

Experience developing, deploying, or supporting applications with any of the major cloud providers
Experience working in a technical pre-sales capacity
Experience with database programming and data models
Experience in data engineering or AI/ML projects
Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
A MongoDB Certification
A Cloud Provider Certification

Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB.
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
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)
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
Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
Relational Migrator: Learn to migrate from relational databases seamlessly

Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space

Effective Communication: Master presentations, demonstrations, and whiteboarding
Client Interaction: Develop strategies for discovery and objection handling

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