Customer Engineer III, Data Analytics, FSI, Google Cloud

Google Inc.; New York, Atlanta (NY, GA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking a Practice Customer Engineer specialized in Agentic Data Cloud to partner with Sales Specialists, accelerate technical wins, and remove architectural blockers for enterprise data and AI workloads.

You will design unified data foundations, prototype production-grade MVPs, and advocate Google Cloud’s data suite including BigQuery and Lakehouse concepts to empower trustworthy AI agents.

Qualifications

• 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 or concepts (ETL, SQL, Spark, data governance).
• Experience using programming languages (Python, Spark, SQL) to demo or prototype.
• Experience presenting to technical and executive stakeholders on data cataloging, access controls, and lineage for AI workloads.

Responsibilities

• Drive the technical win for complex workloads within Data Analytics to ensure rapid adoption during the sales cycle.
• Combine sales strategies and prototyping to provide customer-tailored solutions that secure buy-in from customer domain experts.
• Deliver critical feedback to Product and Engineering to improve architectures and document customer feature requests and issues.
• Help Enterprise customers leverage unified data foundations to power real-time, AI-driven experiences with differentiated solutions.

Skills

Outcomes ownership

Stakeholder influence

Big Data concepts

Python/SQL

Cloud native arch

Education

Bachelor's degree or equivalent

Job description

corporate_fare Google place New York, NY, USA ; Atlanta, GA, USA ; +7 more ; +6 more

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

• 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 or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
• Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
• Experience presenting to technical stakeholders and executive leaders on cataloging, access controls, and lineage for AI and agentic applications.

Preferred qualifications:

• Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
• Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, engaged dynamics, and customer buying behavior.
• Experience understanding customer requirements with the ability to break down requirements and design technical architectures.

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, semantic cataloging, and 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 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. Individual pay is determined by factors including 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 .

• 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 architectures and solutions, working within their management systems to document, prioritize and drive resolution of customer feature requests and issues, while leveraging learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Help Enterprise customers leverage industry-specific unified data foundations to power real-time, AI-driven experiences (including predictive analytics, generative AI, and agent-driven applications), with clear strategic and technical differentiated solutions that directly address technical bottlenecks.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.