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Cloud Architect, Databases, Professional Services, Google Cloud

Cloud Architect, Databases, Professional Services, Google Cloud

3 Hours ago • 4 Years + • DevOps

About the job

Summary_{By Outscal}

12 skills required for this role

Test your skills to join the top 1% applicants for this job

java

tensorflow

jenkins

cpp

algorithms

mongodb

nosql

data-structures

python

terraform

google-cloud-platform

ansible

Must have:

Bachelor's degree in CS or equivalent
4+ years experience in infrastructure automation
Cloud solution design experience
Coding experience (Python, Java, Go, C/C++)
Data storage and processing expertise

Good to have:

Data warehouse experience
Big Data, ML experience
Experience with IaC and CI/CD tools
Experience with encryption techniques
Experience with NoSQL, MongoDB, SparkML, TensorFlow

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Minimum qualifications:

Bachelor's degree in Computer Science or equivalent practical experience.
4 years of experience with automating infrastructure provisioning, DevOps, continuous integration, or delivery.
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.

Preferred qualifications:

Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
Experience in Big Data, information retrieval, data mining, or Machine Learning.
Experience architecting or developing software or internet scale production-grade Big Data solutions in virtualized environments.
Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop, and ability to implement secure key storage using Key Management System.
Experience with IaC and CICD tools like Terraform, Ansible, Jenkins, etc.
Experience building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Cloud Architect, you will provide exceptional technical guidance to customers adopting Google Cloud Platform (GCP) services. This includes providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, and more. You will also provide prescriptive guidance in ensuring that customers receive the best of what GCP can offer and have the best experience in migrating, building, modernizing, and maintaining applications in GCP. Additionally, you will work closely with Product Management and Product Engineering to drive excellence in Google Cloud products and features.

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

Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
Engage with technical leads and partners to lead high velocity migration and modernization to GCP.
Design, migrate/build, and operationalize data storage and processing infrastructure using cloud-native products.
Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.