Senior GCP Solution Architect

Job Description

Job Description

Senior GCP Solution Architect (Google Cloud Data Platform)

Total Required Experience in Years: 12+ Years

Mode of Work: Onsite (Houston, Texas)

Seeking an experienced Senior GCP Solution Architect to lead the design, architecture, and implementation of enterprise-scale cloud data platforms on Google Cloud Platform (GCP). The ideal candidate will possess extensive experience designing scalable, secure, and high-performance cloud data solutions while collaborating with business stakeholders, development teams, DevOps engineers, and security teams.

The Solution Architect will be responsible for defining cloud architecture, designing modern data platforms, optimizing cloud infrastructure, implementing security best practices, driving enterprise data modernization initiatives, and providing technical leadership throughout the project lifecycle.

• Design and architect enterprise-scale data platforms on Google Cloud Platform (GCP).

• Develop scalable and high-performance cloud-native data solutions.

• Design data pipelines using BigQuery, Dataflow, Datastream, Pub/Sub, Cloud Functions, and Cloud Run.

• Define enterprise cloud architecture standards and best practices.

• Collaborate with development, security, DevOps, and infrastructure teams.

• Design secure cloud architectures following enterprise security and compliance standards.

• Develop cloud cost optimization and resource utilization strategies.

• Support enterprise data migration and modernization initiatives.

• Provide technical leadership throughout solution design and implementation.

• Review solution architecture and recommend performance improvements.

• Conduct architecture reviews and technical design sessions.

• Present architectural solutions to executive leadership and client stakeholders.

• Develop architecture documentation, diagrams, standards, and best practices.

• Ensure cloud environments meet scalability, availability, reliability, and performance objectives.

• Google Cloud Platform (GCP)

• Solution Architecture

• Data Architecture

• BigQuery

• Dataflow

• Datastream

• Cloud Functions

• Cloud Run

• Pub/Sub

• Python

• Apache Spark

• Cloud Security

• Data Governance

• Cloud Infrastructure

• Cloud Cost Optimization

• Performance Optimization

• Data Processing

• Enterprise Data Platforms

• Data Migration

• DevOps Collaboration

• Architecture Documentation

• Technical Leadership

• Client Engagement

• Stakeholder Management

• Google Cloud Professional Cloud Architect

• Google Cloud Professional Data Engineer

• Azure

• Hybrid Cloud

• Multi-Cloud Architecture

• Kubernetes

• Docker

• CI/CD

• Terraform

• Data Lake Architecture

• Enterprise Data Warehousing

• AI/ML Platforms

• Minimum 12+ years of experience in Solution Architecture or Data Architecture.

• Extensive hands-on experience designing enterprise data platforms on Google Cloud Platform (GCP).

• Strong expertise with BigQuery, Dataflow, Datastream, Pub/Sub, Cloud Functions, and Cloud Run.

• Experience implementing scalable, secure, and high-performance cloud solutions.

• Strong knowledge of cloud security, compliance, and governance.

• Experience developing cloud cost optimization and resource management strategies.

• Strong programming experience using Python and Apache Spark.

• Experience collaborating with development, DevOps, security, and infrastructure teams.

• Excellent client-facing communication, presentation, and stakeholder management skills.

• Google Cloud Professional Cloud Architect Certification.

• Google Cloud Professional Data Engineer Certification.

• Experience with hybrid and multi-cloud environments.

• Experience with Microsoft Azure.

• Experience leading enterprise cloud transformation and data modernization initiatives.

• Experience designing enterprise-scale cloud data architectures.

• Solution Architecture Documents

• Enterprise Cloud Architecture

• Data Platform Design

• Cloud Migration Strategy

• Security Architecture

• Cloud Cost Optimization Plans

• Technical Design Documents

• Architecture Diagrams

• Data Pipeline Architecture

• Performance Optimization Recommendations

• Technical Standards Documentation

• Knowledge Transfer Documentation

• Bachelor\'s Degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent work experience).