Job description
Minimum qualifications:
- Bachelor’s degree in CS, Engineering, technical field or equivalent practical experience.
- 3 years of experience project managing, delivering technical solutions and interfacing with executive stakeholders.
- Experience working with business intelligence tools and cloud databases such as BigQuery.
Preferred qualifications:
- MBA or Master's degree in quantitative field.
- Cloud certification.
- 7 years of experience demonstrating technical client service in the Data Analytics space.
- Customer-facing migration experience, including service discovery, assessment, planning, execution, and operations.
- Proficiency in programming/scripting languages including SQL (across MySQL, PostgreSQL, Redshift, Oracle), R, Python.
- Demonstrated excellent communication, written, presentation and problem solving skills.
About the job
As a Big Data and Analytics Cloud Consultant, you will work directly with Google’s most strategic customers on critical projects to help them transform their businesses. You will provide management, consulting, and technical aptitude to customer engagements while working with customer executives and key technical leaders to deploy solutions via Google’s Cloud Platform.
You will also work closely with key Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise.
Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.
Responsibilities
- Work with customer technical leads, customer executives, and partners to manage and deliver successful implementations of cloud solutions, becoming a trusted advisor to decision-makers throughout the engagement.
- Work with internal specialists, product, and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful customer outcomes.
- Propose solution architectures and manage the deployment of cloud based big data and analytics solutions according to customer requirements and implementation best practices.
- Travel approximately 30% of the time for customer engagements.
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