Google Cloud Platform Data Architect - 100% Remote - CG

Job Title: Google Cloud Platform Data Architect
Duration: 12 Month
Location: Remote

Excellent comm skills are must

Job description:
We are seeking an experienced Google Cloud Platform (Google Cloud Platform) Data Architect to design, build, and manage scalable, secure, and cost-optimized data solutions, aligned with reporting needs. This role involves translating business requirements into robust technical architectures, ensuring data integrity, and enabling advanced analytics through Google Cloud Platform services like BigQuery and Cloud Storage. The ideal candidate will lead strategy, design, and implementation efforts while collaborating with stakeholders to drive data-driven decision-making.

Key Responsibilities:

• Architect Scalable Data Solutions: Design and implement data warehouses, marts, lakes, and batch and/or real-time streaming pipelines using Google Cloud Platform-native tools.
• Pipeline Development: Build scalable pipelines and automate data ingestion and transformation workflows using BigQuery, Dataflow , Dataproc/PySpark, Cloud Functions and Cloud Composer for orchestration.
• Performance Optimization: Apply best practices for partitioning, clustering, and BI Engine to ensure high performance and cost efficiency.
• DevOps & Automation: Integrate CI/CD pipelines, IaC (Terraform), and containerization (Docker, Kubernetes) for deployment and scalability.
• Collaboration & Leadership: Engage with stakeholders including leadership, Project Managers, BAs, Engineers, QA, platform teams, mentor teams, and provide technical guidance on best practices.
• Troubleshooting: Resolve complex technical issues and support incident response.

Required Skills & Working experience:

• Google Cloud Platform Expertise: BigQuery, Cloud Storage, Dataflow, Dataproc/PySpark, Cloud Functions, Cloud Composer.
• Must have very strong experience with SQL Queries.
• Performance Optimization: Experience with optimization of query performance, partitioning, clustering, BigQuery.
• Automation: Experience with CI/CD for data pipelines, IaC for data services, automation of ETL/ELT processes.
• Architecture Design: Ability to create fault-tolerant, highly available, and cost-optimized solutions.
• Communication: Excellent ability to convey technical concepts to both technical and non-technical stakeholders.

 In compliance with the salary transparency law, the expected pay range for this role is $55   $65/hr. Actual compensation depends on experience and interview evaluation.