Solutions Architect

At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started. While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar!We have one of the largest and most advanced proprietary data infrastructures in the world, spanning social, customer, and sourced datasets. The next step is transformation - turning that data into scalable, AI-driven solutions that unlock new value for our teams and our clients. We’re seeking a Solution Architect - part innovator, part engineer, part strategist - who can take this immense data foundation and create global-leading, intelligence-based tools, models, and managed solutions. This is a role for a true builder of applied intelligence, capable of bridging advanced data science with real-world business impact. What You'll Do Here: Partner with executive, strategy, and client teams to identify opportunities where data and AI can deliver measurable impact across creator selection, content performance, audience alignment, and trend forecasting. Architect and build robust, intelligent dashboards, models, and frameworks that convert complex datasets into intuitive, actionable solutions. Design and implement scalable data models and analytical systems that support enterprise-grade use cases. Lead the translation of ambiguous business challenges into concrete technical requirements and AI-powered solutions. Develop and optimize advanced SQL queries and data pipelines across platforms like Snowflake and BigQuery to operationalize your models. Collaborate with the Data Engineering and AI teams to ensure data quality, infrastructure alignment, and system efficiency. Build internal enablement tools that democratize insight — empowering non-technical teams to use, understand, and scale data-driven solutions. Experiment with and deploy emerging AI methods (LLMs, embeddings, predictive modelling) to surface new intelligence layers from social and behavioural data. Champion data-driven culture by educating internal teams on analytics best practices and data literacy. Continuously evaluate and introduce new technologies, frameworks, and methodologies that advance our intelligence capabilities. You'll Need To Have: Bachelor’s degree in Computer Science, Data Science, Engineering, Business An...