The Senior Data Engineer role in gTech Users and Products focuses on driving technical direction and owning end-to-end data architectures that enhance support and product experiences across Google's ecosystem. The position requires collaboration with various teams to innovate and simplify Ads products while building a productivity tools ecosystem. The engineer will tackle complex data challenges and mentor junior engineers, ensuring robust data models and systems are developed. This role is crucial for integrating AI/ML workflows and modern analytical frameworks into data solutions.

• Bachelor's degree or equivalent practical experience.
• 5 years of experience designing data pipelines and dimensional data modeling for system integration.
• 5 years of experience coding in one or more programming languages.
• 5 years of experience working with data infrastructure and performing exploratory queries.

• Own the architecture, technical roadmap, and priorities for large-scale data products and reporting systems.
• Scope difficult technical problems and deliver robust solutions independently.
• Lead architectural constraints across data sources and storage systems while ensuring scalability.
• Leverage AI and machine learning techniques to automate workflows within data processing pipelines.
• Partner with leadership and cross-functional teams to translate business needs into technical roadmaps.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.