• Collaborate with product managers, data scientists, analysts, and engineers to define business requirements and translate them into scalable data solutions. • Plan, design, build, test, and deploy data warehouse, data mart, and ETL/ELT pipelines—primarily within Google Cloud and BigQuery. • Lead small to medium data projects, including scoping, design, documentation, and execution. • Architect and operate cloud-based data pipelines that support reporting, invoicing, and analytics use cases. • Ensure data integrity, consistency, and accessibility across internal and external data products. • Develop, document, and enforce coding and data modeling standards to improve code quality, maintainability, and system performance. • Serve as an in-house data expert, making recommendations on data design, pipeline improvements, and best practices. • Build and maintain: Internal dashboards and reporting packages (weekly, monthly operational and financial reporting). • External reporting packages for customers, including standardized QBRs and trend analyses. • Monthly invoicing logic, automated data workflows, and standardized datasets for finance. • Work cross-functionally to expand usage and value of the data warehouse, promoting a data-driven culture across the organization.