Customer Engineer II – Platform Engineering – Google Cloud
| Company | |
|---|---|
| Location | Texas, USA, Florida, USA, South Carolina, USA, Virginia, USA, Reston, VA, USA, North Carolina, USA, Atlanta, GA, USA, Addison, TX, USA |
| Salary | $125000 – $183000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Ability to travel up to 20% of the time as needed.
Responsibilities
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Share in-depth Google Cloud 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.
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
- Lead prospecting and acquisition of new logos, creating and building customer relationships from scratch, and establishing yourself as a trusted advisor on their long-term technology and business decisions.
Preferred Qualifications
- Experience in migrating applications and services to cloud platforms.
- 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 in developing cloud-native architectures for data warehousing, data lakes, real-time event processing, streaming, data migrations, data visualization tools, and ensuring data governance.
- Experience with security concepts such as encryption, identity management, access control, attack vectors, and pen testing.
- Experience prospecting, building, and maintaining customer relationships, with an interest for building out Greenfield territories.