Senior Staff Software Engineer, Data Engineering, Cloud AI

Job description

Define the technical roadmap and goal for the Gemini Enterprise metrics and analytics ecosystem, aligning with broader Cloud AI product goals. Architect scalable batch and streaming pipelines, resolving complex analytics ambiguities and mitigating infrastructure roadblocks before they impact delivery. Partner with cross-functional leaders in Data Science, Product Management, and Engineering to identify future metrics requirements and align project timelines. Mentor and grow the team, providing guiding feedback and creating opportunities for engineers to stretch into challenging technical responsibilities. Ensure system health and enforce Service Level Agreements/Service Level Objective (SLAs/SLOs) for critical production datasets, engineering best practices like robust testing, privacy compliance, and data governance. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in languages such as Python, C++, Java, or Go. 5 years of experience with design and architecture; and testing/launching software products. 3 years of experience with software design and architecture. Experience building, debugging, or supporting large-scale data pipelines and data processing systems. Preferred Qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. Experience leading engineering teams, mentoring talent, and architecting solutions for complex data challenges. Experience driving cross-functional collaboration and delivering strategic technical recommendations to executive leadership. Experience building large-scale analytics platforms and data warehousing solutions using distributed pipeline frameworks.