MINIMUM QUALIFICATIONS:
-
Bachelor's degree or equivalent practical experience.
-
6 years of experience with cloud native architecture in a customer-facing or
support role.
-
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 engaging with, and presenting to, technical stakeholders and
executive leaders.
-
Ability to communicate in French fluently to support client relationship
management in this region.
PREFERRED QUALIFICATIONS:
-
Experience in technical sales or consulting in cloud computing, data
analytics, or Big Data.
-
Experience with architecture design, implementing, tuning, schema design and
query optimization of scalable and distributed systems.
-
Experience with aspects of cloud computing (infrastructure, storage,
platforms and data), as well as the cloud market, competitive dynamics and
customer buying behavior.
-
Experience with developing data warehousing, data lakes, batch/real-time
event processing, streaming, data processing (ETL/ELT), data migrations, data
visualization tools and data governance on cloud native architectures.
-
Understanding of customer requirements with the ability to break down
requirements and design technical architectures.
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 Technical Sales Specialist, you will partner with technical Sales teams as
a data analytics subject matter expert to differentiate Google Cloud to
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 challenges, 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 expertise to engage with customers to understand their business and
technical requirements, and persuasively present practical and useful solutions
on Google Cloud.
You will be a part of a team of fellow Googlers working in an environment of
respect and where Google promotes 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:
-
Work with the team to identify and qualify business opportunities, understand
key customer objections, and develop the strategy to resolve technical
blockers, in relation to aspects of the data lifecycle.
-
Share in-depth data analytics expertise to support the technical relationship
with customers, including technology advocacy, supporting bid responses,
product and solution briefings, proof-of-concept work, and partner directly
with product management to prioritize solutions which impact customer
adoption for Google Cloud.
-
Identify business and technical requirements, conduct full technical
discovery and develop client solutions to meet gathered requirements.
-
Work with Google Cloud products to demonstrate and prototype integrations in
customer and partner environments.
-
Prepare and deliver sales messaging in an effort to highlight the Google
Cloud value proposition, use techniques such as whiteboard and slide
presentations, product demonstrations, white papers and RFI responses.
