• Collaborate closely with data scientists, analysts, product managers, and ML and infrastructure to design, build, and deploy reusable components for data ingestion, processing, modeling, and machine learning. • Partner with Engineering and Data leadership to shape and execute Button’s data strategy and roadmap. • Build and operate robust, scalable ELT pipelines processing billions of events using BigQuery, dbt, Airflow, and/or AWS; including custom integrations with external APIs as needed. • Implement comprehensive observability for critical business processes through monitoring, alerting, logging, tracing, and defining clear objectives for freshness, latency, and reliability. • Deliver accurate, well-modeled datasets that satisfy both functional and non-functional business requirements, including standards for privacy, security, scalability, and cost. • Troubleshoot and resolve data issues end-to-end, driving root-cause analysis and preventative solutions. • Own and evolve Button’s data infrastructure lifecycle, including architecture design, data quality/governance, storage optimization, orchestration, access controls, and cost management. • Document best practices and actively mentor teammates through code reviews, documentation, and design discussions.