

Compunnel Inc.
GCP Data Engineer -- SINDC5455325
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Architect in Phoenix, AZ, on a long-term contract. Key skills include BigQuery, data governance, and cloud migration. Experience with enterprise-scale data platforms and compliance frameworks is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#Compliance #IAM (Identity and Access Management) #Clustering #Data Quality #Data Engineering #Security #Data Management #Logging #Monitoring #Strategy #Storage #Scala #Data Governance #Data Warehouse #BigQuery #Disaster Recovery #Data Architecture #Metadata #Classification #Migration #Cloud #GCP (Google Cloud Platform)
Role description
Role: GCP Data Architect
Location: Phoenix, AZ (Onsite)
Duration: Long Term Contract
Job Description:
• Seeking a highly experienced GCP Data Platform Architect to lead the strategy, architecture, and governance of enterprise-scale data platforms on Google Cloud.
• This role will define the target-state architecture for analytics, data governance, and Lakehouse environments leveraging BigQuery, Dataplex, and broader GCP data services.
• 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.
• Implement multi-project, multi-region data architectures.
• Establish cost governance models and query optimization standards.
• Design disaster recovery and business continuity frameworks, Dataplex & Data Governance Architecture
• Architect enterprise data governance frameworks using Dataplex:Lakes, zones, and assets designData classification and tagging strategies Metadata management and lineage Policy enforcement models 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.
• Security & Compliance Architect secure-by-design data platforms aligned with zero-trust principles.
• Implement IAM architecture across projects, folders, and organizations.
• Define encryption, audit logging, monitoring, and regulatory compliance controls.
Role: GCP Data Architect
Location: Phoenix, AZ (Onsite)
Duration: Long Term Contract
Job Description:
• Seeking a highly experienced GCP Data Platform Architect to lead the strategy, architecture, and governance of enterprise-scale data platforms on Google Cloud.
• This role will define the target-state architecture for analytics, data governance, and Lakehouse environments leveraging BigQuery, Dataplex, and broader GCP data services.
• 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.
• Implement multi-project, multi-region data architectures.
• Establish cost governance models and query optimization standards.
• Design disaster recovery and business continuity frameworks, Dataplex & Data Governance Architecture
• Architect enterprise data governance frameworks using Dataplex:Lakes, zones, and assets designData classification and tagging strategies Metadata management and lineage Policy enforcement models 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.
• Security & Compliance Architect secure-by-design data platforms aligned with zero-trust principles.
• Implement IAM architecture across projects, folders, and organizations.
• Define encryption, audit logging, monitoring, and regulatory compliance controls.






