Qualifications

Minimum qualifications:

• Bachelor\'s degree in Computer Science, or equivalent practical experience.
  
• 8 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies.
  
• Experience with different type of Data Modeling Techniques and Methodologies for traditional Online analytical processing or Online Transaction Processing (OLAP/OLTP) databases and modern Data Warehouses.
  
• Experience with SQL Data Base (DBs) like (PostgreSQL, MySQL, Oracle), NoSQL DBs like (Mongo, Cassandra, DynamoDB etc).
  
• Experience in technical consulting delivery for data solutions in cloud environments.
  

Preferred qualifications:

• Certification in Cloud.
  
• Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, Javascript.
  
• Experience devising migration approach, and migrating on premise data processing systems to Cloud.
  
• Knowledge of building and operationalizing data pipelines.
  

Summary

• Bachelor\'s degree in Computer Science, or equivalent practical experience.
  
• 8 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies.
  
• Experience with different type of Data Modeling Techniques and Methodologies for traditional Online analytical processing or Online Transaction Processing (OLAP/OLTP) databases and modern Data Warehouses.
  
• Experience with SQL Data Base (DBs) like (PostgreSQL, MySQL, Oracle), NoSQL DBs like (Mongo, Cassandra, DynamoDB etc).
  
• Experience in technical consulting delivery for data solutions in cloud environments.
  

Description

The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

In this role you will work with customers on critical projects to transform their business with data. You will provide strategic consulting, solution design and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. You will possess a diverse background with cloud solutions in areas such as architecture design, infrastructure fundamentals, and deployment strategies. You will also work closely with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.

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.

Responsibilities

• Work with customer technical leads, client 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 client outcomes.  
• Propose solution architectures and manage the deployment of cloud based databases, Big data and analytics solutions according to customer requirements and implement best practices.
• Travel up to 40% of the time for client engagements as needed.