Cloud Data Architect

2 weeks ago

Pune, Maharashtra, India Peak hawks LLP Full time
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.
Budget: Upto 35LPA
Payroll: Extentia

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 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.

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