Customer Engineer, Data Analytics, Google Cloud
Company: Google
Location: Sunnyvale
Posted on: April 2, 2026
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Job Description:
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 engaging with,
or presenting to, technical stakeholders or executive leaders.
Experience using programming languages (e.g., Python, Spark, SQL)
to demo, prototype, or workshop with customers. Preferred
qualifications: Experience working with ISVs. 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, participant 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 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 (CE) with a specialty in data analytics, you will
partner with technical sales teams to differentiate Google Cloud to
our customers. You will serve as a technical expert responsible for
accelerating technical wins and adoption of complex, specialized
workloads. You will leverage your deep expertise in our most
strategic product areas, in partnership with Platform CEs, to
design data foundation architectures and develop MVPs (Minimum
Viable Products) to sell new, highly specialized solutions to
customers. You will solve analytics-centered customer challenges
and provide a critical feedback loop to unblock customers and
influence product development. 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. The US base
salary range for this full-time position is $153,000-$222,000 bonus
equity benefits. Our salary ranges are determined by role, level,
and location. Within the range, individual pay is determined by
work location and additional factors, including job-related skills,
experience, and relevant education or training. Your recruiter can
share more about the specific salary range for your preferred
location during the hiring process. Please note that the
compensation details listed in US role postings reflect the base
salary only, and do not include bonus, equity, or 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 business
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. Provide deep technical consultation to customers, acting
as a technical advisor and building lasting customer relationships.
Leverage learnings from customer engagements to contribute to
reusable solutions and assets with the Go-To-Market team. Provide
critical feedback from customer engagements to Product and
Engineering teams to improve architectures and solutions. Work
within product and engineering management systems to document,
prioritize and drive resolution of customer feature requests and
issues.
Keywords: Google, Brentwood , Customer Engineer, Data Analytics, Google Cloud, IT / Software / Systems , Sunnyvale, California