Senior Solutions Architect (Pre-Sales)

Accountabilities: • Design scalable, highly available, and performant applications, systems, and infrastructure for complex software environments.

• Advise customers on architecture patterns, optimization strategies, data platforms, and modern application design.

• Analyze existing application architectures and recommend improvements that address scalability, reliability, performance, and business requirements.

• Partner with sales teams on account planning, opportunity qualification, prioritization, pipeline generation, and technical strategy.

• Own the technical aspects of sales opportunities, including discovery, demonstrations, proof-of-value engagements, presentations, sizing, and documentation.

• Build and maintain trusted relationships with technical stakeholders, business leaders, and executive decision-makers.

• Develop multi-threaded account strategies and coordinate internal and ecosystem resources around shared customer objectives.

• Generate demand through technical initiatives, industry events, account-based activities, and other customer engagement opportunities.

• Help customers modernize legacy systems and adopt scalable, efficient technology architectures.

• Foster customer champions and support long-term satisfaction and successful technology adoption.

• Gather field feedback and collaborate with product teams to identify opportunities for product and process improvements.

• Mentor other solutions consulting professionals and contribute to technical knowledge sharing.

• Stay current with cloud technologies, distributed systems, databases, AI/ML, security, and emerging architecture patterns.

• Travel up to 25% to support customer and business engagements.

Requirements:

• 8–11 years of relevant experience in customer-facing technology roles, ideally including 5–7 years in pre-sales within enterprise software.

• At least 3 years of professional experience with modern scripting or programming languages such as Python, Node.js, SQL, C/C++, Java, or C# .

• Proven experience designing scalable and highly available distributed systems in cloud and/or on-premises environments.

• Demonstrated ability to assess complex application architectures and provide practical recommendations for modernization and optimization.

• Strong understanding of enterprise software architecture, cloud technologies, data platforms, and application development.

• Excellent presentation, communication, and interpersonal skills, with the ability to explain complex technical and business concepts clearly to both technical and executive audiences.

• Ability to collaborate strategically with sales teams and influence account direction through technical expertise and customer insight.

• Strong relationship-building and consultative skills, with the ability to establish credibility with customers and internal stakeholders.

• Ability to manage multiple complex opportunities and work effectively in a fast-paced, customer-focused environment.

• Bachelor's degree or equivalent professional experience.

• Willingness and ability to travel up to 25%.

• Experience with database technologies and/or applications deployed on major cloud providers is an advantage.

• Experience with data engineering, AI/ML projects, legacy modernization, or modern scalable technology stacks is preferred.

• Familiarity with sales methodologies or frameworks such as MEDDPICC or Command of the Message is a plus.

• Database or cloud provider certifications are advantageous.

Benefits:

• Base salary range of CAD 130,000–180,000 annually for eligible candidates based in Canada.

• Equity opportunities.

• Employee stock purchase program.

• Flexible paid time off.

• 20 weeks of fully paid gender-neutral parental leave.

• Fertility and adoption assistance.

• RRSP with employer matching.

• Mental health counseling.

• Backup child and elder care.

• Health, dental, and vision benefits.

• Professional development and opportunities to deepen expertise across cloud, data, AI/ML, and modern architecture technologies.

• Accessibility accommodations available throughout the recruitment and interview process.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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