Customer Engineer, Data Analytics, Google Cloud

Key Skills

Big Data Technology, Business Intelligence, Data Analytics, ETL frameworks, Google Cloud Platform (GCP)

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• Candidates will typically have 10 years of experience with technical sales and data analytics.
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Preferred qualifications:

• Experience with developing data warehouses, data lakes, batch or real-time event processing, business intelligence (BI) and ETL solutions.
• Experience in technical business or professional consulting in the fields of cloud computing, data, information lifecycle management, and Big Data.
• Experience in technical pre-sales, such as solution design and architecture, conducting proof of concepts, building MVPs, etc.

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 listen and 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.

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 Lithuania base salary range for this full-time position is EUR 108,000-111,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.

Responsibilities

• Build partner specific, go-to-market solutions to reduce business cycles and drive partner business as measured through pipeline and business growth.
• Own the technical relationship with partners, empowering them to drive a successful pilot or proof of concept, support partners' drive toward customer acceptance of the technical proposal, leading to an agreement, and work with partners during the migration phase to assure they have all the tools necessary to deliver a successful deployment.
• Build trusted advisory relationships and make recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution providing best practice advice to customers to optimize Google Cloud effectiveness.