Cloud GCP Data Architect

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.