Cloud GCP Data Architect

Veracity Software Inc; Indiana (PA); On-site; USD 115,000 - 220,000; Full time

Job summary

A leading company is seeking a highly skilled GCP Data Architect to design and implement cloud solutions for enterprise clients using Google Cloud Platform. This role demands strong understanding of GCP services and cloud architecture. Ideal candidates will have extensive experience in designing data workflows and possess excellent communication skills.

Qualifications

• Minimum 10 years experience in cloud solutions with GCP.
• Strong understanding of cloud architecture, networking, security.
• Certifications like Google Cloud Professional Data Engineer preferred.

Responsibilities

• Designing and implementing solutions using GCP services.
• Leading technical discussions and advising clients.
• Collaborating with teams for successful project delivery.

Skills

Python

SQL

Cloud Architecture

GCP Services

Data Workflow Design

CI/CD Tools

Docker

Kubernetes

Terraform

Agile/Scrum

Education

Bachelor's or master's degree in computer science, IT, or related field

Tools

Terraform

Looker

Power BI

Jenkins

Job description

3 weeks ago Be among the first 25 applicants

We are seeking a highly skilled and motivated GCP Data Architect to join our team.

Google Cloud Platform (GCP) Data Architect would be responsible for designing and implementing

cloudbased solutions for enterprise-level clients using GCP. The role involves understanding clients' business

requirements and translating them into technical solutions that meet their needs.

The GCP Data Architect should have a strong understanding of cloud architecture, including compute,

networking, storage, security, and automation. They should also have a deep understanding of GCP services,

such as App Engine, Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage, Cloud SQL, and Cloud

Pub/Sub and tools such as Dataform, Composer, Looker and PowerBI.

Key Responsibilities:

• Leading technical discussions with clients to understand their business requirements and
  
  

recommend appropriate cloud-based solutions.

• Creating technical specifications and architecture documents for GCP-based solutions.
• Designing and implementing cloud solutions using GCP services.
• Advising clients on best practices for cloud architecture, security, and governance.
• Troubleshooting and resolving issues with cloud-based solutions.
• Collaborating with cross-functional teams, including sales, product, engineering, and support,
  
  

to ensure successful project delivery.

• Staying up to date with the latest developments in cloud technologies and GCP services.
  
  

Qualifications and Certifications:

• Education:
• Bachelor's or master's degree in computer science, Information Technology, Engineering, or
  
  

a related field.

• Experience:
• Minimum 10 years of experience in designing and implementing cloud-based solutions using
  
  

GCP.

• Experience in architecting and designing solutions in one or more of the following areas:
  
  

Infrastructure Modernization, Data Management and Analytics, Application Modernization, or

DevOps.

• Strong understanding of cloud architecture, including compute, networking, storage, security,
  
  

and automation.

• Proven experience designing and implementing data workflows using GCP services like
  
  

BigQuery, Dataform, Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.

• Experience with cloud automation tool such as Terraform. o Excellent communication
  
  

skills and the ability to work effectively with clients and cross-functional teams.

• Certifications:
• Google Cloud Professional Data Engineer certification preferred.
  
  

Key Skills:

• Mandatory Skills:
• Advanced proficiency in Python for data pipelines and automation.
• Strong SQL skills for querying, transforming, and analyzing large datasets.
• Strong hands-on experience with GCP services, including Cloud Storage, Dataflow,
• Cloud Pub/Sub, Cloud SQL, BigQuery, Dataform, Compute Engine, Kubernetes
  
  

Engineer(GKE),

• Hands-on experience with CI/CD tools such as Jenkins, Github or Bitbucket.
• Proficiency in Terraform, Ansible, or Google Cloud Deployment Manager for infrastructure
  
  

automation.

• Experience in using Docker and Kubernetes for containerization and orchestration. o
  
  

Familiarity with workflow orchestration tools like Apache Airflow or Cloud Composer o

Strong understanding of Agile/Scrum methodologies

• Nice-to-Have Skills:
• Experience with other cloud platforms like AWS or Azure.
• Knowledge of data visualization tools (e.g., Power BI, Looker, Tableau). o Understanding of
  
  

machine learning workflows and their integration with data pipelines.

Soft Skills:

• Strong problem-solving and critical-thinking abilities.
• Excellent communication skills to collaborate with technical and non-technical stakeholders.
• Proactive attitude towards innovation and learning.
• Ability to work independently and as part of a collaborative team.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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