Solutions Architect

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.
• Arcitect 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 Analytics, or a related field — or equivalent experience demonstrating technical excellence and business fluency.
• 5+ years of experience in Solution Architecture, Data Analytics, Business Intelligence, or similar role, ideally within a data-heavy or AI-enabled environment.
• Expert proficiency in SQL with experience designing performant, complex data transformations.
• Hands-on experience with modern BI platforms such as Sigma, Tableau, Looker, or Power BI.
• Direct experience with Sigma is a strong plus.
• Strong knowledge of cloud data platforms, including Snowflake and Google BigQuery.
• Deep understanding of data modeling, data warehousing, and analytical design principles.
• Product-minded approach with the ability to design intuitive tools and solutions for non-technical users.
• Comfortable operating in ambiguous and fast-evolving problem spaces, transforming open-ended questions into actionable data products.
• Demonstrated passion for uncovering insights in social, consumer, or behavioral data.
• Background in marketing, the creator economy, or social intelligence is a strong asset.