Pre Sales Solution Architect

Accountabilities

• Design and communicate technical solutions that align customer needs with business outcomes.
• Support the sales lifecycle by translating requirements into effective architectures, leading technical discussions, and ensuring proposed solutions are practical, scalable, and impactful.
• Partner with sales teams to respond to RFPs, RFIs, and client technical inquiries with strong solution recommendations.
• Design end-to-end cloud, data, analytics, and AI solutions aligned with customer objectives and technical requirements.
• Lead technical presentations, demonstrations, and discovery sessions with clients and prospects.
• Collaborate with delivery, engineering, and account teams to validate solution feasibility and implementation strategies.
• Provide technical thought leadership across cloud platforms, modern data architectures, analytics, and AI/ML capabilities.
• Develop and enhance pre-sales materials including solution blueprints, technical documentation, and case studies.
• Stay informed on emerging technologies and industry trends to improve solution approaches and client recommendations.
• Support client engagement strategies by connecting technical possibilities with measurable business value.

Requirements

• A strong combination of technical expertise, consulting experience, and client-facing communication skills.
• Experience in pre-sales, solution architecture, consulting, or a similar client-facing technical role.
• Hands-on experience with modern data architectures, data engineering, analytics, business intelligence tools, and AI/ML solutions.
• Experience designing enterprise-scale technology solutions and engaging with business and technical stakeholders.
• A strong understanding of cloud-based transformation, data platforms, and emerging AI capabilities.
• Excellent communication, presentation, and storytelling skills with the ability to simplify complex technical concepts.
• Ability to collaborate effectively across sales, engineering, delivery, and customer teams.
• Experience in consulting or technical services delivery environments preferred.
• Relevant certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, or related technologies are a plus.
• A willingness to travel as needed, typically 10-25%.

Benefits

• Competitive compensation and bonus opportunities.
• Flexible, digitally connected work environment.
• Unlimited paid time off.
• Health, retirement, and life insurance benefits.
• Long-term incentive programs.
• Opportunities to work on meaningful cloud, data, and AI transformation projects.
• Career development opportunities within a collaborative and innovative environment.