Staff Data Engineer, Search, Data Science

Job description

Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users. Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics. Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption. Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights. Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions. Minimum Qualifications: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development, including large-scale data systems or information retrieval. Experience with programming in C++, Java, Python, or Go. Experience designing and maintaining data pipelines. Preferred Qualifications: Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality). Track record of leading organization-wide technical debt reduction or metrics convergence projects. Ability to navigate a matrixed organization and drive alignment across cross-functional teams.