Cloud Business Intelligence Architect

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.
Data
Staff Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
Enterprise SaaS · AI

Description For Cloud Business Intelligence Architect

Google Cloud is seeking a Cloud Business Intelligence Architect to join their team in driving customer success through data-driven solutions. This role combines technical expertise with customer-facing responsibilities, requiring someone who can bridge the gap between complex technical solutions and business needs. The position involves working directly with customers to transform their businesses using Google Cloud Platform's data solutions.

The ideal candidate will have deep experience in cloud native architecture and business intelligence, with the ability to architect and deploy sophisticated BI solutions. You'll work closely with customers, sales teams, and internal product groups to ensure successful implementation of data solutions. The role requires both technical depth and excellent communication skills, as you'll be presenting to executive leaders and technical stakeholders alike.

This is an excellent opportunity for someone passionate about data and cloud technologies who wants to make a significant impact on how businesses leverage Google Cloud's data solutions. The position offers the chance to work with cutting-edge technology while helping shape the future of cloud business intelligence solutions. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries.

The role involves up to 30% travel for customer engagements and field programs, offering a blend of hands-on technical work and strategic consulting. You'll be instrumental in helping customers navigate their cloud journey while contributing to Google's growing cloud business. The position offers the opportunity to work on challenging problems at scale while being part of a team that's at the forefront of cloud innovation.

Last updated 15 hours ago

Responsibilities For Cloud Business Intelligence Architect

  • Propose solution architectures and manage deployment of Cloud Business Intelligence and Analytics solutions
  • Interact with sales, partner leads and technical stakeholders to translate customer requirements into recommendations
  • Establish and maintain relationships with product and engineering teams
  • Advocate the use of data to develop operational reporting and tooling
  • Deliver insights to business stakeholders and influence customer engagements

Requirements For Cloud Business Intelligence Architect

Python
  • Bachelor's degree or equivalent practical experience
  • 10 years of experience with cloud native architecture in a customer-facing or support role
  • Experience working with business intelligence tools and cloud databases, such as BigQuery
  • Experience with architecting, developing, or maintaining technical solutions in virtualized environments
  • Experience engaging with, and presenting to, technical stakeholders and executive leaders

Interested in this job?

Jobs Related To Google Cloud Business Intelligence Architect

Staff Data Scientist, Product, Search

Staff Data Scientist position at Google Search, focusing on product analytics and leading data-driven initiatives with competitive compensation and benefits.

Senior Data Scientist

Senior Data Scientist position at Google focusing on YouTube advertising optimization through advanced analytics and machine learning.

Group Product Manager, AI Data Quality

Lead AI data quality initiatives at Google as a Group Product Manager, shaping the future of AI applications with a focus on Gemini.

Staff Data Scientist, Product, Ads Account Management

Lead a team of Data Scientists at Google, driving data-driven decisions for Ads Account Management through advanced analytics and strategic insights.

Staff Data Scientist, Product, Workspace

Lead data science initiatives for Google Workspace products, conducting advanced analytics and providing strategic insights to shape the future of hybrid work.