Customer Engineer, Data Analytics (Digital Native Customers), Cloud

Google welcomes people with disabilities.

Minimum qualifications:

• Bachelor's degree in Computer Science or equivalent practical experience.

• 2 years of experience in data and information management as it relates to Big Data or Streaming Data Pipeline.

• Experience with one or more of: Hadoop/Spark ecosystem, BigQuery, Athena, Snowflake

• Ability to speak and write in Japanese fluently.

Preferred qualifications:

• Master's degree in Computer Science, other technical field or equivalent practical experience.
• 2 years of experience as a data engineer, database architect or database administrator who conducts data platform requirements analysis and stakeholder management.
• Experience in growth hack related roles in SaaS, ISV, or consumer application industry.
• Experience as a technology consultant, technical architect, enterprise architect, technical sales engineer, or solutions architect.
• Ability to read and write in English

About the job

At Google Cloud, we’re committed to offering customers an industry-leading Data and Analytics platform to build powerful solutions; delivering business transformation built on trusted insights and right-on-time automation. Data Analytics is a significant differentiator for Google Cloud, and you will be at the forefront of promoting these offerings. Industries are accelerating their shift of being digital-first as they recognize data is the essential ingredient for value creation and the key to advancing their digital transformation.

In this role, you will work with sales teams as a data analytics solutions subject-matter expert to differentiate and educate our customers on Google Cloud. You will help prospective customers and partners understand the power of Google Cloud, demonstrating technical features, helping customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks related to analytics workloads and projects. You will architect the best solutions for the customer using Google Cloud’s unique technology, such as BigQuery, Looker, Vertex AI, etc.

Google Data Cloud team’s mission is to accelerate every organization’s ability to digitally transform and reimagine their business through data-powered innovation. Our products are designed for three pillars: intelligent, open, simplified. Our data cloud fills the customer’s gap to earn tangible, measurable value from data. The data cloud team delivers value to our customers with customer empathy, technical depth with data expertise.

Responsibilities

• Manage technical relationships with digital native customers regarding data platforms. Work with the team to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
• Share in-depth data analytics and data engineering knowledge to support technical relationships with customers, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Cloud.
• Influence the digital native industry’s technical decision-making through storytelling to evolve data platform architectures and growth hack strategies with Google Cloud.
• Drive data analytics solutions consumption with technical wins to solve customer’s pain points by collaborating with data platform partners and data analytics strategic partners.
• Travel to customer sites, conferences, and other related events as required.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.