Customer Engineer III, Data Analytics, FSI, Google Cloud

MINIMUM 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 (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
• [https://www.google.com/about/careers/applications/benefits/].
• 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 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.