Senior Solutions Architect jobs at Mongodb in Germany, Hamburg

This role will based remotely in Hamburg.

• Be open to adopting new technologies and approaches on projects as they evolve, especially those relating to GenAI advancements
• Stay at the forefront of the industry by staying abreast of the latest GenAI advancements and leveraging cutting-edge developments to fulfill migration projects
• Participates as a software developer on small Agile teams, delivering software-based solutions for migrating and modernizing customer legacy applications to MongoDB
• Follow existing best practice migration playbooks where applicable and be prepared to innovate to fill in gaps with creative solutions to solve challenges on each specific project
• Actively participate in sprint grooming, planning, and showcases with ideas and suggestions
• Take direction from the technical lead and project manager on projects, raising identified challenges and potential solutions to the team when applicable
• Study the current state of each legacy application and the desired target state outlined by the customer and contribute to the planning, design, and solution from getting from source state to target state on each project
• Be prepared to change project direction if customer or account team priorities change

• 7+ years’ of experience working as a software developer
• Strong proficiency in Java
• Strong experience in building applications that interact with relational databases using SQL
• Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures
• History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control
• Fluency in both German and English Languages required

• Working knowledge of microservices architectures and Domain-Driven Design approaches
• Some experience and knowledge of Python
• Some experience and knowledge of JavaScript/Node.js
• Some experience and knowledge of ORMs like Hibernate or JPA

Extra bonus skills (if missing, we will provide rapid onboarding enablement on these):

• Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs
• Practical experience of using MongoDB

• 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
• 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
• 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%
• A Bachelor’s degree or equivalent work experience

• 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

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• 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 journeys 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

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

• 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
• 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
• 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%
• A Bachelor’s degree or equivalent work experience

• 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

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• 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 journeys 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

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

As a Senior Technical Program Manager, you will partner with key Engineering, Product, and Product Design stakeholders to deliver critical services and features. You will begin with 1-2 key programs, aligned to time-bound goals, to steward to completion.

• Experienced with 5+ years working in a technical capacity and/or in a project or program management role
• Skilled at managing technical projects and working with full stack development teams using a variety of project management techniques
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Proficient in grasping the infrastructure of your program domain, and skilled at identifying the technical interfaces between teams
• Able to maintain a strategic view of our software engineering processes while supporting and optimizing the operations of the team
• Inspired to innovate in areas where automation can replace manual work. The team works primarily with JIRA and Google Docs so programming proficiency with either or both tools is a plus
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of juggling all of the data associated with projects and task-tracking
• Knowledgeable of agile methodologies and experienced with implementing project management best practices
• Driven by an attuned sense of priority and urgency to ship features and achieve the right business outcomes
• Trained in working with project tracking software (e.g. JIRA, Rally, MS Project, Trello)
• Interested in learning everything about MongoDB

• Execute and improve the processes and tools that inform the daily life of engineering teams
• Drive coordination between product development teams and internal stakeholders to prioritize the team's backlog and plan its release roadmap
• Identify risks to the team's delivery, mitigating them where possible
• Own the data around the health of each team's project and ticket backlog
• Know when a project/team requires more hands-on management and know when it is time to operationalize and develop a process framework for the project and/or team(s)
• Promote a culture of continuous improvement by conducting retrospectives to help identify areas of growth and learnings within and across teams
• Recognize patterns in a sea of information and take action accordingly
• Expand knowledge into new domains by consistently working to gain the requisite technical knowledge required to skillfully manage the complexities, dependencies, and risks associated with engineering projects

• Delivery against program goals
• Improvements and automations in team operations, including leveraging best practices from the TPM community

• 5+ years of working in an engineering organization leading complex cross-functional technical programs
• Demonstrated technical aptitude and strong analytical skills with proven results
• Effective written and verbal communication skills, with the ability to adapt style and delivery for a variety of audiences