GCP Data Platform Architect

GCP Data Platform Architect

Key Responsibilities

• GCP Architecture & Design: Architect scalable Medallion architectures (Bronze/Silver/Gold) on Google Cloud. Design streaming and batch data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer.
• Client Management (PMP Focus): Act as the technical authority, managing customer requirements throughout the project lifecycle. Collaborate with C-Level executives/business directors to translate KPIs into technical architectures.
• Migration & Transformation: Lead the migration of on-premise data (e.g., Teradata) to Google BigQuery, including schema redesign and ETL/ELT orchestration.
• Performance & Optimization: Optimize GCP resource costs and ensure data reliability, accuracy, and lineage (Audit Readiness).
• Leadership: Mentor junior engineers, drive technical whiteboarding sessions, and lead POCs/pilots.

Required Technical Expertise

• GCP Stack: BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Run, Cloud Storage.
• Languages: Expert SQL and Python.
• Data Modeling: Expertise in data warehouse design (Kimball/Inmon).
• Cloud Governance: Experience with Data Catalog, IAM, and CI/CD (Cloud Build/Tekton).

Preferred Qualifications

• Certifications: Google Professional Data Engineer or Google Professional Cloud Architect.
• PMP Certification: Highly valued for managing large-scale transformation projects and stakeholder expectations