• Lead the foundational setup of new data environments, including Snowflake provisioning, SSO configuration, and initial system architecture. • Design, build, and manage scalable data pipelines and ETL/ELT processes to transform raw data into actionable insights. • Support the scaling of engineering teams to handle high volumes of commercial projects while maintaining business continuity during organizational transitions. • Develop and maintain robust DBT data models to support semantic layer build-outs and advanced analytics capabilities. • Partner closely with business leaders and stakeholders to bridge the gap between technical delivery and strategic objectives. • Provide engineering support for custom backend applications, ensuring seamless data integration and reliable exposure to end users. • Establish and enforce best practices for data engineering, architecture, and deployments that can scale across multiple organizations.