Practice Customer Engineer, Data Analytics, Google Cloud

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 10 years of experience with cloud native architecture in a customer-facing or

support role.

* Experience with "Big Data" technologies or concepts (e.g., analytics

warehousing, data processing, data transformation, data governance, data

migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations,

batch versus streaming).

* Experience engaging with, or presenting to, technical stakeholders or

executive leaders.

* Experience using programming languages (e.g., Python, Spark, SQL) to demo,

prototype, or workshop with customers.

PREFERRED QUALIFICATIONS:

* Experience with developing data warehousing, data lakes, batch or real-time

event processing and ETL workflows solutions (i.e. Informatica, Talend,

Alooma, SAP, Data Services) which could include architecture design,

implementing, tuning, schema design, and query optimization of scalable and

distributed systems.

* Experience with technical sales or professional consulting in the fields of

cloud computing, data, information lifecycle management, and Big Data.

* Experience in writing code in a common development languages such as Java,

Python, JavaScript, C++, Scala, R or Go.

* Ability to address DNS, TCP, Firewalls, Proxy Servers, Load Balancing, VPN

and VPC and working knowledge of Linux.

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 (CE) with a specialty in Data Analytics, you

will partner with technical sales teams to differentiate Google Cloud to our

customers. You will serve as a technical expert responsible for accelerating

technical wins and adoption of complex, specialized workloads. You will leverage

your deep expertise in our most strategic product areas, in partnership with

Platform CEs, to design data foundation architectures and develop MVPs (Minimum

Viable Products) to sell new, highly specialized solutions to customers. You

will solve analytics-centered customer challenges and provide a critical

feedback loop to unblock customers and influence product development.

You will have excellent organizational, communication, and presentation skills,

engaging with customers to understand their business and technical requirements,

and persuasively present practical and useful solutions on Google Cloud. You

will blend sales expertise, market knowledge and direct technical engagement to

prove the value of the Google Cloud portfolio.

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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

* Drive the technical win for complex workloads within Data Analytics to ensure

rapid and successful adoption, primarily supporting the sales cycle from use

case identification, technical evaluation, and through customer ramp.

* Combine sales strategies and direct development and prototyping to provide

functional, customer-tailored solutions that secure buy-in from customer

domain experts.

* Provide deep technical consultation to customers, acting as a technical

advisor and building lasting customer relationships.

* Leverage learnings from customer engagements to contribute to reusable

solutions and assets with the Go-To-Market team.

* Provide critical feedback from customer engagements to Product and

Engineering teams to improve architectures and solutions. Work within Product

and Engineering management systems to document, prioritize and drive

resolution of customer feature requests and issues.