Customer Engineer III, Data Analytics, FSI, Google Cloud
AI summary of the role
This is a senior customer engineering role at Google Cloud focused on the Financial Services Industry (FSI), specializing in data analytics and agentic data cloud solutions.
What you’ll do
- Drive technical wins for complex Data Analytics workloads, supporting the sales cycle from use case identification through customer ramp.
- Combine sales strategies with development and prototyping to deliver customer-tailored solutions that secure buy-in from domain experts.
- Provide critical feedback to Product and Engineering teams, documenting and prioritizing customer feature requests and issues.
- Help enterprise customers leverage unified data foundations for real-time, AI-driven experiences (predictive analytics, generative AI, agentic applications).
What you’ll bring
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with Big Data technologies (analytics warehousing, data processing, ETL/ELT, SQL, Spark, etc.).
- Experience using programming languages (Python, Spark, SQL) to demo, prototype, or workshop with customers.
Technologies
BigQuery · Knowledge Catalog · Borderless Lakehouse · Spark · SQL · Python · ETL · ELT · data governance · streaming
About Google
Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.
Public
Source and classification
Technical pre-sales · Evidence for this classification:
About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You address and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical
More from the job description
About the job When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You address and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer specializing in Agentic Data Cloud, you will partner with Sales Specialist to differentiate Google Cloud and position data platform as the primary foundation for enterprise-grade Agentic workflows. You will serve as the technical authority responsible for accelerating technical wins, removing complex architectural blockers, and driving the adoption of specialized, mission-critical data and AI workloads. In this role, you will leverage deep domain expertise to design unified data foundation architectures and build production-grade prototypes and Minimum Viable Products. You will advocate Google Cloud's data suite, including BigQuery, Knowledge Catalog, and the Borderless Lakehouse demonstrating how Lakehouse scale, semant [... source excerpt omitted ...] automated data governance directly empower high-quality, trustworthy AI Agents. In this role, you will bridge modern data architectures with real-time, agentic execution, enable customers to move from static analytics to autonomous, AI-driven experiences.You will collaborate with technical counterparts to shape customer cloud strategies, solve sophisticated data-engineering challenges, and provide a critical feedback loop directly to Product Engineering to influence roadmap development. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that he [... source excerpt omitted ...] g job-related skills, experience, and relevant education or training. US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Drive the technical win for complex workloads within Data Analytics to ensure rapid and successful adoption, primarily supporting the sales cycle from use case identification, technical evaluation, and through customer ramp. Combine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Deliver critical feedback from customer engagements to Product and Engineering teams to improve architec
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