• Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives • Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies • Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment • Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management • Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams • Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor and provide technical direction to junior architects and consultants within engagements • Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization

• Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations • Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives • Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies • Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues • Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment • Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management • Drive adoption of Snowflake's AI product suite through architecture leadership and hands-on delivery • Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams • Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction • Mentor and provide technical direction to junior architects and consultants within engagements • Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization

• Develop, maintain, and enhance web applications using C#/.NET and ASP.NET Web Forms; • Provide support and maintenance for production systems, ensuring application stability and good performance; • Diagnose and resolve incidents and technical issues, contributing to operations in a mission-critical environment; • Develop and integrate data access and manipulation routines; • Write clean, testable, and maintainable code following development best practices; • Participate in code reviews and contribute to the team’s technical growth; • Work collaboratively with cross-functional teams and business stakeholders; • Contribute to the continuous improvement of development and support processes.

• Ensure the evolution, stability and performance of the e-commerce platform through the development and maintenance of backend solutions in Magento. • Collaborate to continuously improve code quality and infrastructure. • Support the platform in production, working on bug fixes and performance improvements. • Participate in code reviews, receiving and applying technical feedback. • Contribute to existing integrations (ERPs, custom payment methods, anti-fraud) under technical guidance. • Work on CI/CD pipelines: builds, deployments, automations and environment troubleshooting. • Support configuration and maintenance of environments (staging, production), containers and infrastructure services. • Diagnose infrastructure and application incidents (indexers, OpenSearch, cache, queues, PHP-FPM, Nginx) with team support. • Monitor the platform via Grafana and Sentry, identifying alerts and suspicious patterns.