Senior Solutions Architect - Analytics

Our team builds data-driven products that directly drive Viasat's revenue growth by transforming how our commercial and customer-facing teams operate. We create innovative data and software tools that sales, account management, and customer success teams use to close more deals, retain customers, and deliver better customer experiences.
As Senior Solutions Architect, you'll co-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 collaborate on end-to-end technical decisions, from selecting frameworks to designingintegrations between Big Query 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 commercial and customer-facing professionals across global business units identify prospects, prioritize opportunities, retain accounts, and deliver differentiated customer experiences. A key part of the role is evaluating and integrating emerging AI capabilities - including LLM-powered features, AI agent frameworks, and MCP servers - to accelerate both internal tooling and customer touchpoints.
You'll join an existing Senior Solutions Architect and share technical ownership of the platform, dividing focus across features and initiatives.

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 ITteams 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.
You'll architect new applications and features across the full stack, from designing API endpoints and service architectures to implementing frontend interfaces. Dailywork involves reviewing technical designs with Analytics Engineers, making architectural decisions on system integrations, and writing code in Python andTypeScript 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. This increasingly includes AI-powered capabilities: evaluating LLM APIs (such as Anthropic Claude or OpenAI), building MCP servers toexpose internal data to AI agents, and prototyping agentic workflows that automate repetitive commercial processes. 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 andensure 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 APIcontracts, and selecting scalable technologies that can grow with the platform. You'llalso spend time on infrastructure work: deploying services via Terraform,configuring CI/CD pipelines, architecting document generation systems, and ensuringapplications meet performance and security requirements for enterprise deployment.

• Expert-level Python development experience building production applications
• Expert-level AWS experience, including Lambda, ECS/Fargate, S3, and API Gateway
• Proven experience deploying and managing containerized applications usingDocker
• 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…