Customer Engineer II, Data Analytics, Google Cloud

Google; Washington (District of Columbia); Hybrid; USD 125,000 - 183,000; Full time

Job summary

A leading company is seeking a Customer Engineer II for Data Analytics within Google Cloud. The role involves engaging with clients to deliver cloud solutions, leveraging expertise in cloud technologies and data analytics. Candidates should have a strong background in cloud architecture and experience in technical sales. This hybrid position offers flexibility in work location and a competitive salary package.

Qualifications

• 6 years of experience in a customer-facing role.
• Experience with data governance and migrations.

Responsibilities

• Identify and qualify business opportunities related to data lifecycle.
• Support technical relationships with customers.

Skills

Cloud Native Architecture

Big Data Technologies

Technical Sales

Data Analytics

Education

Bachelor's Degree

Tools

SQL

NoSQL

ETL

Data Visualization Tools

Job description

Join to apply for the Customer Engineer II, Data Analytics, Google Cloud role at Google

3 days ago Be among the first 25 applicants

Join to apply for the Customer Engineer II, Data Analytics, Google Cloud role at Google

Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Reston, VA, USA; Pittsburgh, PA, USA; Washington D.C., DC, USA.

Remote location(s): Maryland, USA; Pennsylvania, USA; Virginia, USA.Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with "Big Data" technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  
  

Preferred qualifications:

• 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 in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaging dynamics and customer buying behavior.
• Ability to understand customer requirements and 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 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.

In this role, you will partner with technical Sales teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help customers and partners understand the power of Google Cloud, develop cloud solutions and architectures to solve their business challenges, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-ends and all aspects of the data lifecycle. You will use the expertise and presentation skills to engage with customers to understand their business and technical requirements, and present solutions on Google Cloud. You will have excellent technical, communication and organizational skills.

You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

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.

The US base salary range for this full-time position is $125,000-$183,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data lifecycle.
• Share data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) responses.
  
  
  

Google 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 .

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Engineering

• Industries

  Information Services and Technology, Information and Internet

Referrals increase your chances of interviewing at Google by 2x

Get notified about new Customer Engineer jobs in Washington, DC.

Customer Engineer, Looker, Public Sector

Customer Engineer, Looker, Public Sector

Technical Support Engineer (Hybrid/Columbia MD)

Customer Engineer, Federal Civilian, Public Sector

Washington, DC $125,000.00-$175,000.00 2 weeks ago

Technical Support Engineer (Hybrid/Columbia MD)

Customer Engineer, Federal Civilian, Public Sector

Technical Support Engineer - Americas, Reuters

Washington, DC $68,200.00-$147,300.00 2 months ago

Washington, DC $91,800.00-$102,000.00 3 weeks ago

Technical Support Engineer, Trilogy (Remote) - $60,000/year USD

Senior Customer Service Support Engineer

Technical Support Engineer - Escalation TAC

Technical Support Engineer 4 - SV1012912

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.