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Added 6 mins ago
Senior ServiceNow Developer
Symbiotic Digital
ON · Cornwall East, Ontario
Contract
solutions that meet business and operational requirements.
Added 6 mins ago
RDL Network Administrator
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Added 1 hour ago
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Added 1 hour ago
Sr Implementation Consultant
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Toronto, ON · Etobicoke, ON
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As a Senior Implementation Consultant on Prophix's Professional Services team, you will own the end-to-end delivery of complex Prophix One implementations for enterprise finance clients -…
Added 2 hours ago
RDL Network Administrator
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Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
Head of Technology and AI
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Remote, Canada
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Added 3 hours ago
Principal, Infrastructure Architecture
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Toronto, ON
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Added 4 hours ago
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Added 4 hours ago
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Added 4 hours ago
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Iris Software is hiring Solution Architect multinational investment banking and financial services corporations. Our client is world-leading financial services companies, provides…
Added 4 hours ago
Senior Solution Architect - Maximo
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Brampton, ON
$120 to $160 CAD / hour
Contract
We are seeking an experienced Senior Solution Architect to support a large-scale Enterprise Asset Management (EAM) Program, with a primary focus on an IBM Maximo implementation and other…
Added 4 hours ago
PLM Solution Architect
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Added 4 hours ago
Data Scientist
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MongoDB

Senior Solutions Architect (Pre-Sales)

Montreal, QC, Canada

Pay: $130,000 - $180,000 CAD
Posting language: English
Posted: Sep 24, 2026

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Original job description

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers.

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

This role can be based in Montreal.

As an ideal candidate, you will have:

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

You may also have:

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

What you do at MongoDB:

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

What you will learn:

MongoDB Product Suite Mastery:

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

Market-Relevant Technologies:

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

Modern Architecture Design:

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

Sales Techniques and Soft Skills:

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

Industry Insights:

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

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req. ID: 426324

MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.

MongoDB’s base salary range for this role in Canada is:

$130,000 - $180,000 CAD

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More about this job

Responsibilities

The Senior Solutions Architect will design scalable, performant applications and infrastructure while guiding customers on architecture patterns and business value. They will also partner with sales teams to drive account success through technical discovery, demos, and strategic account planning.

Requirements

Candidates should have 8 to 11 years of related experience, including 5 to 7 years in pre-sales for enterprise software. Proficiency in modern programming languages and experience designing distributed systems in cloud and on-prem environments are required.

Skills

Solutions architecture
Pre-sales
Python
Node.js
SQL
Java
C++
C#
Distributed systems
Cloud computing
Database design
Technical presentation
Account strategy
Data engineering
AI/ML
Mentoring

Benefits

Equity
Employee stock purchase program
Flexible paid time off
20 weeks fully-paid gender-neutral parental leave
Fertility and adoption assistance
Registered retirement savings plan with employer match
Mental health counseling
Backup child and elder care
Health benefits
Dental benefits
Vision benefits

Visa sponsorship

Not detected in the job text

Keywords

MongoDB
Atlas
Solutions Architect
Pre-sales
Cloud
Distributed Systems
Python
Node.js
SQL
Java
C++
C#
Microservices
DevOps
Security
RAG
AI
Machine Learning
Data Engineering
MEDDPICC
Command of the Message
Apache Kafka
Kubernetes
AWS
Google Cloud
Microsoft Azure
Enterprise Software
Account Planning
Technical Discovery
Proof of Value

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