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.