
Senior Solutions Architect
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in United States.
• Transform early-stage opportunities into well-defined, risk-mitigated, and precisely scoped solutions.
• Identify technical risks prior to project pricing and effectively communicate solution value to enhance customer trust.
• Spearhead pre-sales initiatives by designing intricate GCP solutions centered on Data, AI, and Cloud Infrastructure applications.
• Create technical architectures, implementation strategies, comprehensive Statements of Work, implementation backlogs, and cost estimates.
• Guide client discovery and qualification starting from initial opportunity discussions.
• Oversee multiple simultaneous opportunities while ensuring requests, follow-ups, and deliverables remain on schedule.
• Detect technical red flags related to identity, connectivity, data quality, and legacy limitations.
• Propose and facilitate pre-sales Solutions Workshops.
• Evaluate existing workloads and environments for potential optimization, modernization, or migration to GCP.
• Design comprehensive solutions that align with business requirements, budgets, timelines, user needs, and technical limitations.
• Architect extensive Data, AI, and Cloud Infrastructure solutions across the GCP platform.
• Take ownership of initial solutions and estimates, refining them through engineering, customer experience, and legal review.
• Collaborate with Account Executives and Partnerships leadership on deal strategy, qualification, scoping, and pricing.
• Provide guidance to clients on the Google Cloud portfolio, including BigQuery, Looker, Gemini Enterprise, and agentic solutions.
• Present technical solutions while linking capabilities to business advantages.
• Represent Nerdery within the Google partner ecosystem and cultivate relationships with Google field teams.
• Define staffing profiles and work with delivery teams to confirm feasibility.
• Facilitate the transition from sales to implementation.
• Stay updated on trends in GCP, AI/ML, GenAI, emerging technologies, and competing platforms like AWS and Azure.
• Engage in marketing and business development initiatives.
• Bachelor’s Degree or equivalent practical experience.
• 4-6 years of experience specifically as a client-facing Solutions Architect working with Google Cloud Platform (GCP) technologies.
• 8-10 years of overall experience in solutions architecture, technical pre-sales, or technical consulting, including hands-on experience in developing and delivering cloud solutions.
• Proven history of assisting sales teams in closing deals, showcasing effective consultative selling abilities.
• Demonstrated success as the primary technical solutioning resource for a team or business unit.
• Expert proficiency in GCP solution architecture encompassing Data, AI/ML, and GenAI, including expertise in BigQuery, Dataflow, Composer, Vertex AI, Gemini, and agent frameworks.
• Broad working knowledge of core infrastructure components, including networking, IAM, Cloud Run, and GKE.
• Exceptional communication skills with the capability to establish rapport with clients and internal teams.
• Daily proficiency with AI tools, including terminal-based agentic solutions like Claude Code.
• Highly organized, with a proven track record of managing numerous concurrent opportunities within established processes.
• Ability to constructively push back on customers and sales personnel while maintaining positive relationships.
• Must be legally authorized to work in the country of employment without sponsorship for employment visa status.
• Preferred: GCP certifications such as Professional Cloud Architect, Professional Data Engineer, and/or Professional Machine Learning Engineer.
• Preferred: Experience within the Google Partner Ecosystem and familiarity with partnership incentive models (DAF/PSF).
• Preferred: Previous experience as the primary or lead Solutions Architect for a team, product line, or business unit.
• Preferred: Understanding of public sector compliance and security frameworks like FedRAMP, StateRAMP, and CJIS, as well as data residency requirements and their implications for solution architecture.
• Preferred: Familiarity with AI-augmented and agentic software delivery methodologies.
• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and certifications.
• Flexible work hours and remote work options.
• Collaborative and inclusive company culture.
Palo Alto Networks
Foundant Technologies
Canvas Medical
Canvas Medical
Get handpicked remote jobs straight to your inbox weekly.