We're looking for a Data Engineer who is passionate about building modern data products, leveraging AI-powered capabilities, and partnering closely with product teams to drive meaningful outcomes.This role is equal parts technical delivery and product partnership. You'll design and deliver data solutions while serving as a trusted advisor to stakeholders—helping teams identify opportunities, improve processes, and unlock value through data, automation, and AI. We're seeking someone who brings curiosity, initiative, and a consulting mindset, with the ability to lead conversations and proactively recommend solutions rather than simply execute requests.What You'll DoData Engineering, Analytics & Technical Delivery (50%)Design, build, and support scalable data products and analytics solutions.Develop and optimize data models, data pipelines, and transformations using SQL and modern cloud data platforms.Leverage Snowflake's AI ecosystem to accelerate development, analytics, and operational efficiency.Apply and support Snowflake Cortex capabilities, including Cortex Agents, Cortex Analyst, Cortex Code, copilots, and other emerging AI-powered features.Partner with product and business teams to translate requirements into scalable technical solutions.Perform data analysis to uncover insights, validate opportunities, and inform product decisions.Ensure data quality, reliability, performance, and maintainability across data products and platforms.Stay current with rapidly evolving AI and Snowflake capabilities and identify practical ways to apply them within client environments.Product Partnership & Consulting (50%)Act as a strategic partner to product and business stakeholders rather than a task executor.Lead discovery sessions to understand business challenges, identify opportunities, and define solution approaches.Proactively recommend product, process, and platform improvements that create measurable business value.Drive conversations around automation and AI-enabled workflows to improve user experiences and team productivity.Help stakeholders rethink traditional approaches by identifying opportunities to leverage AI agents, knowledge automation, and intelligent workflows.Serve as a subject matter expert on data, analytics, AI, and Snowflake capabilities.Influence product direction through data-driven insights, technical expertise, and consultative problem-solving.Bridge the gap between technical and non-technical stakeholders, ensuring alignment on goals, priorities, and outcomes.