Customer Engineer III, Data Analytics, Google Cloud

Google; New York (NY); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Cloud is seeking a Practice Customer Engineer with a Data Analytics focus to partner with technical sales and differentiate Google Cloud for customers. You will serve as a technical expert to accelerate wins and adoption of complex workloads, leveraging product areas to design data foundations and MVPs for new solutions.

You will solve analytics challenges, engage with customers to understand requirements, and present practical, value-driven architectures.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in customer-facing or support roles.
• Experience with Big Data technologies and concepts (analytics warehousing, data processing, data governance, ETL/ELT, SQL, Spark).
• Experience engaging with technical stakeholders and executive leaders.
• Experience using Python, Spark, or SQL to demo or workshop with customers.

Responsibilities

• Drive the technical win for complex data analytics workloads within the sales cycle.
• Provide deep technical consultation and act as a technical advisor to customers.
• Develop reusable solutions and assets with the Go-To-Market team.
• Provide feedback to Product and Engineering to improve architectures and solutions.
• Document and prioritize customer feature requests and issues in management systems.

Skills

Big Data experience

Customer engagement

Programming languages

Education

Bachelor's degree or equivalent

Tools

Python

Spark

SQL

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, and presenting to, technical stakeholders and executive leaders.
• Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.

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 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 product areas, in partnership with Platform CEs, to design data foundation architectures and develop MVPs (Minimum Viable Products) to promote new, highly specialized solutions to customers. You will solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development.
You 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 show the value of the Google Cloud portfolio.

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. 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.

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.
• 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.