Job Summary & Responsibilities Advance Local is looking for a Data Architect to lead the design and implementation of enterprise-level data solutions within our modern cloud data platform. This role combines deep technical expertise in analytics engineering with leadership responsibilities to ensure the delivery of well-documented, tested, and  high-quality data assets that enable AI, data products, advanced analytics, and self-service reporting.  You’ll guide strategic data initiatives, mentor a team of analytics engineers, and collaborate with data engineering and business stakeholders to deliver impactful, scalable solutions. The base salary range is $185,000 - $200,000 per year. What you’ll be doing: Architect and oversee scalable data models, pipelines, and frameworks in Snowflake using dbt, ensuring that they meet quality standards for AI agents, advanced analytics, and self-service reporting. Lead the design and governance of analytics-ready data models, ensuring they are well-modeled, performant, and accessible to downstream consumers. Drive rapid prototyping of new data products and features, providing technical direction and hand-on guidance when needed. Establish and enforce data quality, testing, and documentation standards across all data assets, ensuring reliability and trustworthiness. Develop advanced solutions for audience data modeling and identity resolution, supporting personalization and segmentation strategies. Partner with Audience Strategy and Insights teams to translate requirements into technical solutions and automation.