Cloud Data Architect

**Job Details**:
**Position: Cloud Data Architect**

**Experience: 10-15years**

**Work Mode: Onsite**

**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