Experience : 10 to 15 Years

About the Role :

We are seeking an experienced GCP Data Architect to design and implement scalable cloud-native data platforms on Google Cloud Platform.

The ideal candidate will define enterprise data architecture, lead modernization initiatives, and mentor engineering teams.

Key Responsibilities :

- Design enterprise-scale data architecture on GCP.

- Build scalable batch and streaming pipelines using Google Cloud Dataflow.

- Define data models, governance, security, and best practices.

- Work with BigQuery, Cloud Storage, Pub/Sub, Dataproc, Composer, IAM, and CI/CD.

- Collaborate with engineering, analytics, and business stakeholders.

- Optimize performance, reliability, and cost.

Required Skills :

- 10 to 15 years in Data Engineering/Data Architecture.

- Strong hands-on experience with GCP and Dataflow (mandatory).

- Expertise in BigQuery, Pub/Sub, Cloud Storage, Dataproc, Composer, SQL, ETL/ELT.

- Knowledge of Python or Java, data modeling, orchestration, and cloud security.

- Excellent stakeholder management and architecture leadership.

Preferred :

- Terraform, Docker, Kubernetes, CI/CD, Agile/Scrum, data governance.