Data Analytics Customer Engineer, Google Cloud (Japanese)

2 Months ago • 6-8 Years • Data Analyst

Job Summary

Job Description

The Data Analytics Customer Engineer role at Google Cloud focuses on managing technical relationships with digital native customers regarding data platforms. Responsibilities include identifying business opportunities, resolving technical objections, sharing data analytics and engineering knowledge (product briefings, proof-of-concept work), influencing technical decision-making through storytelling, driving data analytics solution consumption, and collaborating with partners. This customer-facing role requires fluent Japanese and ideally English, involving travel to customer sites and events. The successful candidate will possess strong data management and Big Data/streaming pipeline experience, along with expertise in platforms like Hadoop/Spark, BigQuery, Athena, or Snowflake.
Must have:
  • Bachelor's degree in CS or equivalent
  • 6+ years customer-facing experience
  • 2+ years Big Data/Streaming Data Pipeline experience
  • Hadoop/Spark, BigQuery, Athena, Snowflake experience
  • Fluent Japanese communication
  • Manage technical customer relationships
  • Identify and qualify business opportunities
Good to have:
  • Master's degree in CS or related field
  • Data engineer/architect/administrator experience
  • Growth marketing experience in SaaS/ISV
  • Technology consultant/architect experience
  • Fluent English communication

Job Details


Minimum qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 6 years of experience in customer facing role.
  • 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 the following: Hadoop/Spark ecosystem, BigQuery, Athena, Snowflake.
  • Ability to communicate fluently in Japanese in order to communicate in this customer-facing sales role

Preferred qualifications:

  • Master's degree in Computer Science, other technical fields 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 marketing related roles in SaaS, Independent Software Vendor (ISV), or consumer application industry.
  • Experience as a technology consultant, technical architect, enterprise architect, technical sales engineer, or solutions architect.
  • Ability to communicate fluently in English as this is a customer-facing role that requires interactions with local stakeholders.

About the job

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

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

  • 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 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 marketing 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 partners.
  • Travel to customer sites, conferences, and other related events as needed.

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