{"schemaVersion":"jobsearcher.job.v1","id":"7fc05d7c76148207bd5bb9cf","url":"https://jobsearcher.com/jobs/7fc05d7c76148207bd5bb9cf","canonicalUrl":"https://jobsearcher.com/jobs/7fc05d7c76148207bd5bb9cf","title":"Practice Customer Engineer, Data Analytics, Google Cloud","description":"This role may also be located in our Playa Vista, CA campus.\nApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\nApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.\nThe application window will be open until at least August 24, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.\nIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n\nHealth, dental, vision, life, disability insurance\nRetirement Benefits: 401(k) with company match\nPaid 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\nSick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks\nBaby Bonding Leave: 18 weeks\nHolidays: 13 paid days per year\n\nNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Kirkland, WA, USA; Los Angeles, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA; Portland, OR, USA; Phoenix, AZ, USA.\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n\n10 years of experience with cloud native architecture in a customer-facing or support role.\nExperience 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).\nExperience engaging with, or presenting to, technical stakeholders or executive leaders.\nExperience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.\n\nPreferred qualifications:\nExperience 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.\nExperience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.\nExperience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.\nAbility to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.\nAbout the job\nWhen 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.\nAs 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.\n\nYou will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.\nGoogle 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDrive 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.\nCombine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.\nProvide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.\nLeverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.\nProvide 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.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Google","rawCompany":"google","city":"Boulder","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-13T15:20:44.583Z","occupations":[{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Practice Customer Engineer, Data Analytics, Google Cloud","description":"This role may also be located in our Playa Vista, CA campus.\nApplicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\nApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.\nThe application window will be open until at least August 24, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.\nIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n\nHealth, dental, vision, life, disability insurance\nRetirement Benefits: 401(k) with company match\nPaid 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\nSick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks\nBaby Bonding Leave: 18 weeks\nHolidays: 13 paid days per year\n\nNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Kirkland, WA, USA; Los Angeles, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA; Portland, OR, USA; Phoenix, AZ, USA.\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n\n10 years of experience with cloud native architecture in a customer-facing or support role.\nExperience 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).\nExperience engaging with, or presenting to, technical stakeholders or executive leaders.\nExperience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.\n\nPreferred qualifications:\nExperience 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.\nExperience with technical sales or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.\nExperience in writing code in a common development languages such as Java, Python, JavaScript, C++, Scala, R or Go.\nAbility to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN and VPC and working knowledge of Linux.\nAbout the job\nWhen 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.\nAs 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.\n\nYou will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.\nGoogle 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nDrive 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.\nCombine sales strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.\nProvide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.\nLeverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.\nProvide 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.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-08-13T15:20:44.583Z","dateModified":"2026-08-13T15:20:44.583Z","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boulder","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7fc05d7c76148207bd5bb9cf"},"url":"https://jobsearcher.com/jobs/7fc05d7c76148207bd5bb9cf"}}