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 cloud-based 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.  
 
   Job Description:  
   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. 
  -  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 Engine (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. 
  -  Familiarity with workflow orchestration tools like Apache Airflow or Cloud Composer 
  -  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). 
  -  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. 
  
   Location:  
 Bengaluru  
 
   Brand:  
 Merkle  
 
   Time Type:  
 Full time  
 
   Contract Type:  
 Permanent