About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The GPay+Wallet Data Platform (GDP) team is building the foundational infrastructure and data applications designed specifically to power advanced analytics, AI personalization and agentic experiences. Our mission is to unlock the full potential of Payments data for Google by providing reliable, compliant, and scalable data infra. GDP fuels everything from advanced analytics and experiment measurement to the creation of targeting signals and crucial inputs for AI/ML models.

As a Senior Software Engineer, you will play a key role in designing, building and evolving the core data infrastructure and tooling that underpins decision-making and product development within consumer payment. You will own technical areas, driving projects from ambiguous requirements to well-scoped, high-quality solutions, enhancing our self-serve data platform capabilities, empowering teams to effectively leverage payments data.

Responsibilities

• Design, develop, and implement highly scalable and reliable data pipelines and infrastructure.
• Take full ownership of complex technical problems, from ideation and research to proposing and delivering end-to-end solutions, often involving ambiguous requirements.
• Drive technical strategy and best practices for data ingestion, processing, storage, and consumption, ensuring data quality, compliance (e.g., data localization, privacy), and discoverability.
• Collaborate closely with Product Managers, Data Scientists, Analysts, and Feature Engineering teams to understand data needs and deliver robust data solutions that meet business requirements.
• Identify opportunities to improve system efficiency, reliability, and developer experience within the data platform, proactively addressing technical debt and implementing optimizations. Advocate for and implement best practices in data infrastructure, software development, testing, and monitoring to ensure the reliability, scalability, and efficiency of GDP's systems.