Senior Solutions Architect - Growth Analytics

Viasat, Inc.; City of Westminster; On-site; GBP 90,000 - 130,000; Full time

Job summary

Viasat, Inc. seeks a Senior Solutions Architect to co-lead the technical architecture of a platform ecosystem spanning web portals, document generation, and cloud apps processing billions of records.

You will shape integrations between BigQuery data pipelines, Salesforce, and enterprise authentication, using Python, AWS Lambda, Next.js/React, and Terraform. Mentoring, architecture ownership, and AI-driven innovations are core today.

Qualifications

• Expert-level Python development for production apps.
• Expert-level AWS experience including Lambda, ECS/Fargate, S3, API Gateway.
• Experience deploying and managing containerized apps with Docker.
• Strong SQL skills and data warehouse experience.
• Hands-on with Infrastructure as Code tools, esp. Terraform.
• Proficiency with Git and modern CI/CD workflows.
• Ability to design multi-component software systems from architecture to production.
• Experience with Next.js/React/TypeScript.
• Familiarity with BigQuery and Cloud Run.
• Knowledge of enterprise auth patterns (SSO, SAML, OAuth, RBAC).
• Experience scaling MVPs to enterprise-grade platforms.

Responsibilities

• Architect end-to-end platform across full stack, from API endpoints to frontend interfaces.
• Collaborate with Analytics Engineers, Sales, Product, and IT to align tech decisions with business needs.
• Mentor junior engineers and promote best practices in software architecture.
• Evaluate AI capabilities and integrate MCP servers and LLM APIs into workflows.
• Review designs, drive architectural decisions, and ensure scalable, secure deployments.

Skills

Python

AWS

Terraform

Next.js/React/TypeScript

SQL

Docker

Git & CI/CD

BigQuery/Salesforce integration

LLM/APIs

Security & IAM

Tools

Terraform

Docker

Git

Job description

Our team builds data-driven products that directly drive Viasat's revenue growth bytransforming how our commercial and customer-facing teams operate. We createinnovative data and software tools that sales, account management, and customersuccess teams use to close more deals, retain customers, and deliver better customerexperiences.
As Senior Solutions Architect, you'll co-lead the technical architecture anddevelopment of our entire platform ecosystem: web portals, automated documentgeneration systems, and cloud applications that process billions of records. You'llcollaborate on end-to-end technical decisions, from selecting frameworks to designingintegrations between BigQuery data pipelines, Salesforce, and enterpriseauthentication systems. Working in Python, AWS Lambda, Next.js/React, andTerraform, you'll architect high-performance solutions while mentoring teammembers 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 theplatform, dividing focus across features and initiatives. You'll work with AnalyticsEngineers in your team who build the data pipelines powering your applications,sales teams across business units who provide direct feedback, product andcommercial teams who understand customer needs as well as data engineers and ITteams who help scale solutions. This cross-functional exposure gives you uniqueperspective 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 andmandate.
You'll architect new applications and features across the full stack, from designingAPI 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 technicalrecommendations 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 automaterepetitive 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 designefficient 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 newfeatures, propose implementation approaches, and estimate development effort. Thisincludes designing integration patterns between systems, implementingauthentication 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.

The day-to-day

• Expert-level Python development experience building production applications
• Expert-level AWS experience, including Lambda, ECS/Fargate, S3, and APIGateway
• 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 softwaresystems from architecture through production deployment
• Experience making technical architecture decisions and trade-offs in fast-paced environments,
• Experience with modern web development frameworks, particularly Next.js,React, and TypeScript
• Familiarity with Google Cloud Platform services, especially BigQuery andCloud 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 useradoption
• Experience with automated document generation or data visualizationlibraries
• Experience working with LLM APIs (e.g. Anthropic Claude, OpenAI) andbuilding AI-powered features in production applications
• Familiarity with the Model Context Protocol (MCP) or AI agent frameworks fortool-augmented LLM workflows
• Understanding of customer lifecycle touchpoints beyond sales - e.g.onboarding, customer success portals, and self-service tooling

One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.