Practice Customer Engineer, Data Analytics, Google Cloud

Google LLC
Mountain View, CA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$152,000.0 - $221,000.0
Working hours
Regular working hours
Job source

Tech stack

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
+23 more
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

Job 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.

Requirements

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.

Benefits & conditions

In 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:

  • 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

About the company

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 alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

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