Solutions Architect
Role details
Job location
Tech stack
Job description
As Senior Solutions Architect, you'll lead the technical architecture and development of our entire platform ecosystem: web portals, automated document generation systems, and cloud applications that process billions of records. You'll own end-to-end technical decisions, from selecting frameworks to designing integrations between BigQuery data pipelines, Salesforce, and enterprise authentication systems. Working in Python, AWS Lambda, Next.js/React, and Terraform, you'll architect high-performance solutions while mentoring team members and contributing innovative ideas for future capabilities. Your technical decisions directly influence how hundreds of sales professionals across global business units identify prospects, prioritize opportunities, and close deals. You'll see your work translate into measurable outcomes: new contracts won, time saved in sales cycles, and millions in incremental revenue. The tools you build will be used daily by teams in the field. You'll work with Analytics Engineers in your team who build the data pipelines powering your applications, sales teams across business units who provide direct feedback, product and commercial teams who understand customer needs as well as data engineers and IT teams who help scale solutions This cross-functional exposure gives you unique perspective on both technology and business context. You'll help scale successful, well-loved tools from MVP stage to enterprise-grade platforms serving new markets, working in a small, collaborative team with startup pace but enterprise resources and mandate. The day-to-day: You'll architect new applications and features across the full stack, from designing API endpoints and service architectures to implementing frontend interfaces. Daily work involves reviewing technical designs with Analytics Engineers, making architectural decisions on system integrations, and writing code in Python and TypeScript to implement solutions from infrastructure through user interface. A typical day includes conducting proof-of-concepts for new tools and technologies, evaluating their fit for the platform architecture, and presenting technical recommendations to the team. You'll investigate and resolve production bugs, optimize web portal performance and rendering efficiency, debug Lambda functions, and refactor components to improve reliability and maintainability. You'll design efficient data movement patterns in the cloud to handle high-volume datasets and ensure applications remain responsive under load. You'll collaborate with the Product Lead to define technical requirements for new features, propose implementation approaches, and estimate development effort. This includes designing integration patterns between systems, implementing authentication and authorization systems for enterprise portals, specifying API contracts, and selecting scalable technologies that can grow with the platform. You'll also spend time on infrastructure work: deploying services via Terraform, configuring CI/CD pipelines, architecting document generation systems, and ensuring applications meet performance and security requirements for enterprise deployment. What you'll need:
- Expert-level Python development experience building production applications
- Expert-level AWS experience, including Lambda, ECS/Fargate, S3, and API Gateway
Requirements
- Proven experience deploying and managing containerized applications using Docker
- Strong SQL skills and experience working with data warehouses
- Hands-on experience with Infrastructure as Code tools, particularly Terraform
- Proficiency with Git and modern CI/CD workflows
- Demonstrated ability to design and implement multi-component software systems from architecture through production deployment
- Experience making technical architecture decisions and trade-offs in fast-paced environments
What will help you on the job:
- Experience with modern web development frameworks, particularly Next.js, React, and TypeScript
- Familiarity with Google Cloud Platform services, especially BigQuery and Cloud Run
- Knowledge of enterprise authentication patterns including SSO, SAML, OAuth, and RBAC
- Experience processing and optimizing applications that work with high-volume datasets at scale
- Background in B2B SaaS, sales enablement tools, or CRM platforms
- Track record of scaling MVPs into enterprise-grade platforms
- Experience working in Agile environments using tools like JIRA
- Comfort working across the full stack from infrastructure to frontend
- Ability to mentor junior engineers and establish technical best practices
- Understanding of how technical decisions impact business outcomes and user adoption
- Experience with automated document generation or data visualization libraries