Cloud Data Architect

Overview

Job Details:

Position: Cloud Data Architect

Experience: 10-15years

Work Mode: Onsite

Notice Period: Immediate (Candidates have to join before 21st March)

Location: Pune, Bangalore, Mumbai, or Gurgaon.

Job Overview:

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
• 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.

Job Types: Full-time, Permanent

Pay: ₹2,500,000.00 - ₹3,500,000.00 per year

Benefits:

• Health insurance
• Paid sick time
• Provident Fund

Schedule:

• Day shift
• Monday to Friday

Ability to commute/relocate:

• Viman Nagar, Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Experience:

• Google Cloud Platform: 10 years (Required)

Work Location: In person