GCP Data Architect

Veriipro; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Veriipro is seeking a senior data architecture professional to design secure, scalable GCP data architectures and analytics solutions. You will lead enterprise data platforms, data lakes, and data warehouses while optimizing BigQuery performance and cloud costs.

You will collaborate with engineering and business teams, establish governance standards, and mentor engineers through cloud migration and modernization initiatives.

Qualifications

• Experience designing scalable, secure GCP data architectures.
• Strong background in enterprise data platforms, lakes and warehouses.
• Proven ability to lead data governance, quality, and metadata programs.
• Proficient in Python, SQL and Spark for data processing.
• Experience with ETL/ELT pipelines and cost optimization.

Responsibilities

• Design scalable, secure, high-performance GCP data architectures.
• Architect enterprise data platforms, data lakes, and analytics solutions.
• Build and optimize batch and real-time data pipelines using GCP services.
• Establish data governance, quality, metadata, and lineage standards.
• Lead architecture reviews and promote cloud best practices.
• Collaborate with business and engineering teams to deliver data solutions.
• Optimize BigQuery performance, scalability, and cloud costs.
• Ensure compliance with security and regulatory standards.
• Mentor engineering teams and provide technical leadership.
• Support cloud migration and modernization initiatives.

Skills

BigQuery

Dataflow

Dataproc

Pub/Sub

Cloud Composer

Cloud Storage

Data architecture

Data modeling

Data platform

Data lake

Data warehouse architecture

Data governance

Data quality

Metadata & lineage

Python

SQL

Apache Spark

ETL/ELT design

CI/CD

Git

Agile/Scrum

Performance tuning

Security

Cost optimization

Stakeholder management

Tools

Terraform

Job description

Must-Have Technical Skills

• Google Cloud Platform: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage
• Enterprise Data Architecture, Data Modeling
• Data Platform, Data Lake, and Data Warehouse Architecture
• Data Governance, Data Quality, Metadata & Lineage Management
• Python, SQL, Apache Spark
• ETL/ELT Pipeline Design & Optimization
• Infrastructure as Code (Terraform)
• CI/CD, Git, Agile/Scrum
• Performance Tuning, Security, and Cost Optimization
• Strong communication and stakeholder management skills

Roles & Responsibilities

• Design scalable, secure, and high-performance GCP data architectures.
• Architect enterprise data platforms, data lakes, and analytics solutions.
• Build and optimize batch and real-time data pipelines using GCP services.
• Establish data governance, quality, metadata, and lineage standards.
• Lead architecture reviews and drive cloud best practices.
• Collaborate with business and engineering teams to deliver scalable data solutions.
• Optimize BigQuery performance, scalability, and cloud costs.
• Ensure compliance with enterprise security and regulatory standards.
• Mentor engineering teams and provide technical leadership.
• Support cloud migration and modernization initiatives.