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Apex Systems · 1 week ago

GCP Architect

New York, NY

Full-time

Hybrid

Senior Level, Lead/Staff

$90/hr - $130/hr

8+ years exp

Apex Systems is a leading global technology services firm that delivers solutions to fulfill clients’ digital visions. They are currently seeking a highly skilled GCP Architect to design, implement, and optimize cloud-based data and analytics solutions using Google Cloud Platform services.

Human ResourcesInformation TechnologyRecruiting

No H1B

Responsibilities

Serve as a subject matter expert (SME) and solution architect on Google Cloud Platform (GCP) technologies, guiding client stakeholders through design decisions, tradeoffs, and migration strategies

Compare and contrast Azure and GCP capabilities (cost, performance, compliance, analytics/AI) to support informed decision-making

Lead the architecture, design, and migration approach for client workloads into GCP, including hybrid and multi-cloud scenarios

Lead the greenfield build of modern data platforms that enable analytics, AI, and agentic solutions on GCP by developing architectures that leverage GCP services to support use case specific requirements

Provide hands-on technical guidance on cloud-native services (BigQuery, BigTable, Dataflow, Pub/Sub, Looker, Vertex AI, etc.) as well as security, networking, and governance

Contribute to the Energy & Utilities practice and Technology & Experience Discipline by developing methodologies, accelerators, and best practices for GCP adoption in regulated utility environments

Qualification

Google Cloud PlatformData architectureCloud migrationsAI/ML servicesGoogle Cloud certificationLeadership capabilitiesCommunication skills

Required

Bachelor's degree in computer science, Information Systems, Engineering, or related field (advanced degrees a plus)

8+ years of work experience, including at least 3+ years designing and implementing cloud solutions on GCP

Strong understanding of cloud data and analytics architectures, including batch and streaming data pipelines, data warehouses (BigQuery), and AI/ML services (Vertex AI, Agentspace)

Ability to objectively evaluate Azure vs. GCP tradeoffs inclusive of Databricks deployments

Proven success leading large-scale cloud migrations or greenfield platform builds (design through implementation)

Familiarity with regulatory/compliance frameworks relevant to utilities (e.g., NERC CIP, data residency, security standards)

Possess at least one Google Cloud Professional certification: Data Engineer, Cloud Database Engineer, Cloud Architect, Machine Learning Engineer

Strong communication skills with the ability to influence both technical and business stakeholders

Ability to document technical architecture and explain approach and rational to technical resources

Demonstrated leadership and mentoring capabilities

Willingness to travel to client sites as needed (up to 50–75% annually)