MongoDB

Advisory Partner Solutions Architect

Rol remoto de Solutions Consulting, Partners con fit claro de ubicación del candidato.

PublicadoAgregado recientemente

Países elegibles19 países aceptados

Señal de seniorityLead

Modelo de trabajoRemoto

Ubicaciones aceptadas para candidatos

AustraliaBangladésCamboyaChinaRAE de Hong Kong (China)India+13 más

AWS Azure Java JavaScript Kubernetes MongoDB Python SQL

Resumen del rol

Advisory Partner Solutions Architect

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

What you'll do at MongoDB

Design scalable, secure, and high-performing application, data, and AI architectures using MongoDB Atlas for customer and partner-led solutions
Act as a trusted technical advisor to partners, sellers, and customers by guiding architecture reviews, modernization strategies, and deployment decisions across cloud and hybrid environments
Work on complex partner and ecosystem opportunities that require deep technical discovery, solution mapping, demos, proofs of value, sizing, and technical documentation
Build and refine joint partner offerings, integration patterns, quick starts, workshops, demos and reference architectures with hyperscalers, ISVs, and strategic ecosystem partners
Create reusable field assets such as demos, presentations, sample architectures, workshops, and technical guidance that help sellers and partners scale MongoDB adoption.
Advise on modern AI application patterns including RAG, vector search, agentic workflows, and integration approaches across partner ecosystems
Support field and partner teams with implementation guidance, technical objections, and practical workarounds where product capabilities, frameworks, or documentation are still evolving
Collaborate with product, engineering, and partner teams to relay field feedback, influence roadmap conversations, and improve the quality of MongoDB integrations and partner experiences
Partner with account teams on territory and account planning, opportunity qualification, pipeline generation, and technical win strategy
Represent MongoDB externally through customer workshops, partner sessions, industry events, and thought leadership content
Mentor peers and help raise the bar for the broader Solutions Consulting organization through knowledge sharing and repeatable best practices

As an ideal candidate, you will have

12+ years of experience in a customer-facing technical role, including significant pre-sales, consulting, partner, or solutions architecture experience in enterprise software
Strong experience navigating complex sales cycles and aligning technical and business stakeholders across customers, partners, and internal teams
Hands-on experience with modern application development, data platforms, or cloud-native systems, including at least one scripting or programming language such as Python, JavaScript, Java, C#, or SQL
Experience designing distributed systems in cloud and hybrid environments with an understanding of scalability, resilience, and security considerations
The ability to translate technical architecture into business value for executives, architects, developers, and partner stakeholders
Experience working with one or more of the following: hyperscaler partnerships, ISV integrations, AI/ML applications, data engineering, platform modernization, or developer platforms
A demonstrated ability to create technical assets, lead workshops, and enable broader field teams with reusable content and repeatable patterns
Strong presentation, communication, and interpersonal skills, with the ability to influence without direct authority
Familiarity with modern sales methodologies and strong collaboration with sales leadership
The ability to travel up to 25%

You may also have

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
Experience in SRE practices
Proven ability to up-level the broader organization - for example by sharing best practices or creating reusable assets
A MongoDB Certification or a Cloud Provider Certification
Experience with MongoDB Atlas and adjacent services such as Search, Vector Search, Stream Processing, Data Lake, and related application modernization patterns.
Experience with partner technologies and ecosystems such as AWS, Azure, Kubernetes, Apache Kafka, or framework-level integrations used in modern AI applications.
A track record of public speaking, publishing technical content, or representing a company in external technical forums.

What you will learn

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

What you will learn

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

What you will learn

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

What you will learn

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