Data Analytics Cloud Practice Engineer

Google Inc.

Phoenix (AZ)

On-site

USD 152,000 - 221,000

Full time

29 hours ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
Vacation 20 days
Sick time 40 hours/year
Maternity leave
Baby bonding leave
Holidays 13 days

Job summary

Google Cloud is seeking a Share Practice Customer Engineer with a Data Analytics focus to partner with sales teams, differentiating Google Cloud to customers through technical leadership. You will design data foundation architectures, develop MVPs, and help accelerate adoption of analytics workloads.

You will collaborate with Platform CEs to solve analytics challenges, prototype integrations, and contribute to product feedback.

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 (analytics warehousing, data processing, data governance, ETL, ELT, SQL, Spark, performance or scalability).
  • Experience using programming languages (Python, Spark, SQL) to demo, prototype, or workshop with customers.
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders.

Responsibilities

  • Support local sales teams and engage customers on data lifecycle.
  • Identify requirements, conduct technical discovery, and architect client solutions.
  • Lead technical projects: advocacy, bid support, product briefings, PoC.
  • Work with Google Cloud products to demonstrate and prototype integrations.
  • Travel as required for meetings, technical reviews, and onsite delivery.

Skills

Cloud architecture
Big Data
Python/SQL
Stakeholder engagement
Executive communication

Education

Bachelor's degree or equivalent

Tools

Spark
SQL

Job description

Google Cloud is seeking a Share Practice Customer Engineer with a Data Analytics focus to partner with sales teams, differentiating Google Cloud to customers through technical leadership. You will design data foundation architectures, develop MVPs, and help accelerate adoption of analytics workloads.

You will collaborate with Platform CEs to solve analytics challenges, prototype integrations, and contribute to product feedback.

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