Data Analytics Customer Engineer, Google Cloud (English)

Job Title: Data Analytics Customer Engineer, Google Cloud (English) Company: Google Job Category: Data Science Roles & Responsibilities: About The Job As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory. You will partner with Sales Specialists to execute the technical pre\-sales strategy for customers, serving as the trusted technical advisor to CDOs, CTOs, Lead Architects, and developers. You will lead proactive discoveries to map complex, legacy customer data estates and qualify them for migration to Google Cloud Platform (GCP). Leveraging a background in value\-selling, you will conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway spend. You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI. If you possess deep expertise in Python, PySpark, and distributed data systems, and can translate technical excellence into business\-transforming migrations, you will grow in this highly technical role. 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. Responsibilities * Define technical strategy for large accounts, engaging C\-level executives via live demonstrations to solve business problems using the Agentic Data Cloud. * Design, code, and deploy production\-grade Data \+ AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open\-format architectures (Apache Iceberg). * Orchestrate Intent\-Driven data engineering to autonomously deploy PySpark pipelines using the Data Agent Kit, Antigravity, and Model Context Protocol. * Lead high\-impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes. * Conduct detailed Total Cost of Ownership (TCO) analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine. Work Location: Bengaluru, Karnataka, India Availability: Full time

Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 0-2 years of experience as a data or systems engineer, solutions architect, or pre\-sales consultant. * Experience delivering demos, workshops, or architect overviews to business leaders. * Experience migrating, refactoring, or debugging proprietary or open source workloads. * Experience building data platforms, warehouses, or data lakes, and experience with data programming languages and leveraging agentic platforms. * Ability to communicate in English fluently to manage stakeholder relationships. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form . Key Skills: Data Science Salary: Not disclosed