GCP Solution Architect (P-153)

Smash CR • New York, NY

6d • Hybrid

About The Position

SMASH believes in building long-lasting relationships with talent, understanding their professional goals, and finding the perfect match with US clients based on technical skills and cultural fit. The company's core competency is finding the right talent fast. This role is based in New York City, NY, requiring 3 days per week onsite, and applicants must have U.S. citizenship or a valid U.S. work permit. The GCP Solution Architect will bridge business intake and technical execution by designing end-to-end data platform solutions on Google Cloud Platform (GCP). This position involves translating product and business requirements into scalable, secure, and production-ready architectures, enabling delivery teams to execute with clarity and confidence.

Requirements

• 5–7 years of experience in enterprise-scale data platform architecture.
• 2–3+ years of hands-on experience with GCP data platforms.
• Proven experience leading at least two end-to-end GCP data pipeline implementations or migrations.
• Strong understanding of GCP landing zones, IAM, networking, and security models.
• Expertise in enterprise ETL and data engineering from diverse data sources into GCP.
• Deep knowledge of data ecosystem concepts (pipelines, integration patterns, lineage, metadata, data quality, monitoring).
• Ability to architect holistically across governance, reliability, performance, scalability, and security.
• Experience working in complex enterprise or consulting environments.
• Strong communication skills to bridge technical and non-technical stakeholders.

Nice To Haves

• Experience working directly with Google Cloud or prior Google employment.
• Experience building data platforms from zero to production-ready environments.
• Multi-cloud knowledge (AWS or Azure) to translate architectural patterns.
• Domain-specific data solution experience.

Responsibilities

• Translate business and product requirements into comprehensive GCP-based technical architectures.
• Design enterprise-scale data platforms, including ingestion, transformation, storage, and analytics layers.
• Lead end-to-end data pipeline migrations into GCP environments.
• Architect landing zones, IAM structures, networking, and security models in GCP.
• Define governance frameworks including lineage, metadata, data quality, and monitoring standards.
• Design reliable, scalable, and performance-optimized data ecosystems.
• Partner with stakeholders to clarify scope, constraints, and trade-offs.
• Provide technical guidance to delivery teams for implementation readiness.
• Evaluate integration patterns and enterprise data flows across multiple systems.
• Contribute to best practices for enterprise ETL and data engineering modernization.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees