Cloud Business Intelligence Architect, Google Cloud

Google • San Francisco, California, United States • 3w ago

XThe application window will be open until at least November 18, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.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: San Francisco, CA, USA.
Remote location(s): Arizona, USA; California, USA; Colorado, USA; Florida, USA; Georgia, USA; Illinois, USA; Michigan, USA; New Jersey, USA; New York, USA; Oregon, USA; Texas, USA; Washington, USA.

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 working with business intelligence tools and cloud databases such as BigQuery.
Experience architecting, developing, or maintaining technical solutions in virtualized environments.
Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
Experience in customer-facing migration, including service discovery, assessment, planning, execution, and operations.
Experience in programming/scripting languages including SQL (e.g., MySQL, PostgreSQL, Redshift, Oracle), R, and Python.

About the job

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Cloud Business Intelligence Architect, you will work directly with customers on critical projects to help them transform their businesses with data. You will provide management, consulting, and technical aptitude to customer engagements while working with customer executives and key technical leaders to deploy data solutions via Google Cloud and Looker. You will leverage data and work closely with key Google partners currently servicing accounts to advise on service offerings, scale technical knowledge and best practices, and partner with Product and Engineering product development.

You are open to traveling up to 30% of the time for customer engagements and field programs.

The US base salary range for this full-time position is $171,000-$257,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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

Propose solution architectures and advise the deployment of Cloud Business Intelligence (BI) and Analytics solutions according to requirements and implementation.
Interact with account teams and technical stakeholders to translate complex customer requirements into recommendations for appropriate solutions and consulting services.
Advocate the use of data to drive strategy and develop operational reporting and tooling to understand utilization, performance, and adoption of products to inform customer engagement strategies.
Deliver insights to business stakeholders and influence customer engagements as new products, features, and solutions launch.
Establish and maintain relationships with internal specialists, Product and Engineering teams, assist in testing and implement new features, products, and solutions into thought leadership, methodologies, and assets.