Senior Data Engineer, Cloud Supply Chain, Data Engineering

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. The Cloud Supply Chain Data Engineering, End-to-End Systems and Analytics team is chartered to provide the most efficient systems and analytics enabling faster decision making and throughput time for Google Cloud's Supply Chain. As Google Cloud continues to scale, this team’s work will contribute to the ongoing product, process and capability growth to ensure Google can continue to meet market and competitive goals. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Architecture and Pipelines: Build scalable data pipelines with robust quality monitoring to ensure accuracy and integrity across various data sources. Transformation and Analysis: Write complex SQL for extraction and transformation, powering automated reporting and quantitative analysis for key business decisions. Collaboration and Design: Translate stakeholder data needs into actionable technical solutions alongside cross-functional engineering and product teams. Visualization: Create and maintain dashboards to effectively communicate actionable insights and drive data-backed recommendations. Tooling and Automation: Automate data processes and build efficient tools using well-structured Python and SQL code. Governance and Mentorship: Own the Data Governance charter for compliance, and mentor junior engineers through technical guidance and code reviews.

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. 5 years of experience in data analysis, database querying (e.g., SQL), and BigQuery. Preferred qualifications: Data Engineering and Governance: 12 years of experience leading data engineering and governance, defining policies, ensuring compliance, and managing metadata systems. Programming and Systems Design: Proficient in Python, complex system design, and deploying solutions across GCP, data warehouses, and quality tools. Leadership and Collaboration: Proven track record of leading large-scale technical projects, mentoring junior engineers, and driving collaborative problem-solving. Analytics and ML: Expertise in large-scale data analysis, statistics, and machine learning model development, with Data Center or Supply Chain domain knowledge. Communication: Exceptional ability to clearly translate and explain complex technical concepts to various audiences.