• Design, optimize, and scale end-to-end data pipelines and cloud-based infrastructure for analytics, reporting, and machine learning. • Own data integration, transformation, and modeling processes, ensuring accuracy, accessibility, and analytical readiness. • Lead implementation of dbt, Looker, and other modern analytics tools to deliver scalable, maintainable solutions. • Define and enforce standards for data modeling, data governance, lineage, monitoring, and compliance. • Evaluate emerging technologies and drive architecture decisions to future-proof the platform. • Lead complex initiatives spanning multiple teams and business domains. • Set project direction, ensure timely delivery, and maintain high-quality standards. • Translate business requirements into robust technical solutions. • Mentor data analysts and analytics engineers on technical challenges, best practices, and career growth. • Collaborate with leadership to ensure the data platform aligns with business objectives. • Identify opportunities to improve efficiency, scalability, and business impact through data. • Facilitate alignment across technical and non-technical stakeholders, promoting a culture of data-driven decision-making. • Foster knowledge sharing, continuous feedback, and cross-team collaboration.