Senior Customer Engineer - Data Analytics

Practice Customer Engineer, Data Analytics

Minimum qualifications:

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
• 6 years of experience as a technical sales engineer in a cloud computing environment or a customer-facing role.
• Experience with Apache Spark and analytic warehouse solutions (e.g., Teradata, Netezza, Vertica, SQL-Server, and Big Data technologies).
• Experience implementing analytics systems architecture.

Preferred qualifications:

• Master's degree in Computer Science or a related field.
• Experience with technical sales or professional consulting in cloud computing, data, information life-cycle management, and Big Data.
• Experience with coding languages (e.g., Python, JavaScript, C++, Scala, R, or Go).
• Experience developing data warehousing, data lakes, batch, or real-time event processing and ETL workflow solutions, including architecture design, implementing, tuning, schema design, query of and distributed systems.
• Knowledge of Linux, Web 2.0 development platforms, solutions, and related technologies (e.g., HTTP, Basic/NTLM,sessions, XML/XSLT/XHTML/HTML).
• Understanding of DNS, TCP, Firewalls, Proxy Servers, DMZ, Load Balancing, VPN, VPC.

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.

As a Practice Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.

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

• Support local Sales teams in pursuit of business opportunities, engaging customers to address aspects of the data life-cycle.
• Work with the Business teams, identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet the requirements.
• Lead technical projects, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the co-ordination of supporting technical resources.
• Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as needed for meetings, technical reviews, and onsite delivery activities.
• Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and Request For Information (RFI) response documents.

Experience Level

Senior Level