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Technical Sales Specialist, Data Analytics, Google Cloud

Google Inc.

Toronto

On-site

CAD 90,000 - 120,000

Full time

7 days ago
Be an early applicant

Job summary

A leading technology company is seeking a Technical Sales Specialist for Data Analytics. This role involves partnering with technical sales teams to showcase the Google Cloud capabilities, crafting creative cloud solutions, and engaging with customers to solve business challenges. The ideal candidate will have a strong background in cloud technologies and data analytics. This is a unique chance to support businesses in their digital transformation journey.

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.

Responsibilities

  • Identify and qualify business opportunities and resolve technical blockers.
  • Support the technical relationship with customers and conduct technical discovery.
  • Demonstrate integrations in customer and partner environments.
Job description
Technical Sales Specialist, Data Analytics, Google Cloud

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.

Job Summary

As a Technical Sales Specialist, you will partner with technical Sales 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 tests, 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.

Responsibilities
  • Work with the team to identify and qualify business opportunities related, 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 partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Identify business and technical requirements, conduct full technical discovery and client solutions to meet gathered requirements.
  • Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
  • Prepare and deliver business messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and RFI responses.
Requirements
  • 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, 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.
Preferred Qualifications
  • Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
  • 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.
  • Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

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