> Markdown version of [/jobs/ext/2240579-practice-customer-engineer-data-analytics-google-cloud](https://www.wearedevelopers.com/jobs/ext/2240579-practice-customer-engineer-data-analytics-google-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Practice Customer Engineer, Data Analytics, Google Cloud - **Company:** Google LLC - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $221,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Proxy Servers, Big Data, C++ (Programming Language), Cloud Computing, Data as a Services, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Linux, Distributed Systems, Domain Name System (DNS), R (Programming Language), Information Lifecycle Management, Virtual Private Networks (VPN), Python (Programming Language), Query Optimization, SAP (Applications), Scala (Programming Language), SQL Databases, Talend, Transmission Control Protocol (TCP), Data Processing, Google Cloud, Load Balancing, Apache Spark, Firewalls (Computer Science), Amazon Virtual Private Cloud (VPC), Data Lakes, Complex Event Processing, Data Analytics, Software Coding, Programming Languages - **Published:** August 26, 2026 - **Apply:** https://dejobs.org/x/x/2F1926CC32CA4CC684D5604876AA7E91/job/ ## About the Role 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 engaging with, and presenting to, technical stakeholders and executive leaders., * Experience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go. * Experience in technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data. * Experience with developing data warehousing, data lakes, batch or real-time event processing and ETL workflows solutions (i.e., Informatica, Talend, Alooma, SAP, Data Services) which could include architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems. * Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux. ## Description 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 listen 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 (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. 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, * Support local sales teams in pursuit of key business opportunities, and with engage customers to address aspects of the data lifecycle. * Identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements. * Take responsibility for leading technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources. * Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required for meetings, technical reviews, and onsite delivery activities. * Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and RFI response documents. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Got AI ideas but no money? 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