• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems. • Design, build, and optimize data pipelines and ETL/ELT processes leveraging Snowflake and Azure Services. • Develop and maintain Snowflake data warehouses, ensuring efficient data modeling, partitioning, and performance tuning. • Implement data flow processes that automate and streamline data collection, processing, and analysis. • Ensure data governance, quality, and security best practices across all data platforms. • Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decisionmaking across the organization. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Provide operational support for existing data infrastructure and develop new solutions as needed. • Monitor, troubleshoot, and optimize system performance in Azure and Snowflake environments. • Support CI/CD pipelines and automation for data workflows and deployments. • Keep current with industry trends and innovations in data engineering and propose changes to the existing landscape.