Google · 8 hours ago
Customer Engineer III, Data Analytics, Cloud
Google is a leading technology company, and they are seeking a Customer Engineer III specializing in Data Analytics. The role involves partnering with technical sales teams to facilitate the adoption of Google Cloud products by providing deep technical consultation and developing tailored solutions for customers.
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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
Qualification
Required
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
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 understanding customer requirements with the ability to break down requirements and design technical architectures
Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, industry dynamics, and customer buying behavior
Benefits
Health, dental, vision, life, disability insurance
Retirement Benefits: 401(k) with company match
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Kleiner Perkins,Sequoia CapitalAndy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
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