Solution Architect, Utilities, Google Cloud Platform
West Monroe
| Company | West Monroe |
| Category | Engineering |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 3 Oct 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Are you ready to make an impact? West Monroe is looking for a GCP Solutions Architect with proven experience designing and implementing cloud-based data and analytics platforms. This role will focus on supporting our Energy & Utilities clients as they evaluate, leverage, migrate to, and build on Google Cloud. From day one at West Monroe, our people have the opportunity to make a meaningful, hands-on impact for their clients while growing their careers through focused professional development and continuous learning.
This role must be located in New York City or the tri-state area.
What Will You Be Doing?
Client Delivery
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, AWS, 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.
Understand key differences and overlap in modern data platform capabilities when considering Databricks to complement Google Cloud solutions
Lead platform cost modeling to provide guidance on O&M budgeting and oversee efforts to identify and capture cost savings in existing capabilities
Collaborate with data engineers, developers, and business SMEs to ensure architecture aligns with business goals and regulatory 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.
Understand the connection between data governance, data engineering, analytics/AI, and agentic solutions from a holistic delivery perspective.
Act as a trusted advisor to client leadership, driving alignment across business and IT stakeholders.
Leverage AI tools to accelerate analysis, synthesize complex information, and support data-driven recommendations for clients, exercising judgment in evaluating outputs.
Apply AI technologies (e.g., generative AI, automation tools, data models) to enhance insights, improve delivery efficiency, and elevate the quality of client outcomes.
Practice Development
Contribute to the Energy & Utilities practice and Technology & Experience Discipline by developing methodologies, accelerators, and best practices for GCP adoption in regulated utility environments.
Promote thought leadership around cloud modernization, data platforms, and AI/ML use cases enabled by GCP.
Mentor junior team members and foster a collaborative, learning-oriented culture within West Monroe.
Business Development
Partner with account teams to understand business needs and shape them into technical roadmaps, proposals, and solutions.
Contribute to client pursuits as a GCP SME, including crafting architecture options, estimates, and risk assessments.
Build and maintain a professional network in the utilities and cloud ecosystems, strengthening West Monroe’s reputation in the market.
Requirements:
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).
Experience with Azure cloud services and Databricks platform, ability to objectively evaluate Azure vs. GCP tradeoffs inclusive of Databricks deployments
Pro
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