GCP Architect

Atos; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Atos in Phoenix is seeking an experienced Cloud Data Architect to define enterprise GCP data platform architecture centered on BigQuery and Dataplex. You will shape reference architectures, governance standards, and scalable lakehouse designs to support modern data warehousing.

This role leads cloud modernization and evaluates emerging GCP data technologies. The candidate will architect high-performance BigQuery environments, set partitioning/storage/workload strategies, and design DR/BC

Responsibilities

• Define and implement enterprise-wide GCP data platform architecture centered on BigQuery and Dataplex.
• Establish reference architectures, best practices, and governance standards.
• Design scalable lakehouse and modern data warehouse architectures.
• Lead cloud modernization and migration strategies to GCP.
• Evaluate and recommend emerging GCP services and data technologies.
• Architect high-performance, enterprise-scale BigQuery environments.
• Define partitioning, clustering, storage, and workload management strategies.
• Establish cost governance models and query optimization standards.
• Design disaster recovery and business continuity frameworks.
• Lakes, zones, and assets design.
• Data classification and tagging strategies.
• Metadata management and lineage.
• Design fine-grained access controls (row-level, column-level security).
• Integrate governance with IAM, DLP, and enterprise compliance requirements.
• Define data quality and stewardship frameworks.

Job description

• Define and implement enterprise-wide GCP data platform architecture centered on BigQuery and Dataplex.
• Establish reference architectures, best practices, and governance standards.
• Design scalable lakehouse and modern data warehouse architectures.
• Lead cloud modernization and migration strategies to GCP.
• Evaluate and recommend emerging GCP services and data technologies.

BigQuery Architecture & Optimization

• Architect high-performance, enterprise-scale BigQuery environments.
• Define partitioning, clustering, storage, and workload management strategies.
• Establish cost governance models and query optimization standards.
• Design disaster recovery and business continuity frameworks.

Dataplex & Data Governance Architecture

• Lakes, zones, and assets design
• Data classification and tagging strategies
• Metadata management and lineage
• Design fine-grained access controls (row-level, column-level security).
• Integrate governance with IAM, DLP, and enterprise compliance requirements.
• Define data quality and stewardship frameworks.