• Execute our cohesive data strategy that aligns with company objectives. • Lead the design, development, and evolution of Supplier.io data architecture, ensuring scalability, reliability, performance and security. • Execute and influence a cohesive data strategy that aligns with company objectives and supports analytics, reporting, and downstream product use cases. • Design, build, and maintain robust, cloud-native data pipelines and data warehouses, with Snowflake as a core component of the platform. • Own complex data modeling initiatives, including dimensional and analytical models that support business intelligence and advance analytics. • Evaluate, introduce, and integrate new tools, technologies, and methodologies, while aligning legacy counterparts for improved data ingestion, transformation, storage, and processing. • Drive continuous improvement by optimizing data pipelines, query performance, reliability, observability, and cost efficiency. • Partner with Infrastructure, Product, Analytics, and Engineering teams to ensure data systems meet best practices, security standards, and business needs. • Provide technical leadership and mentorship to other data engineers, contributing to code reviews, design discussions, and engineering standards. • Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, runbooks, security considerations, and operations procedures. • Participate in agile planning and executive, contributing to estimation, prioritization, and delivery of high-impact data initiatives. • Troubleshoot and resolve complex, cross-system data issues and incidents.