Solution Architect, Utilities, Google Cloud Platform

West Monroe Partners-posted 3 months ago
Full-time
New York City, NY
Professional, Scientific, and Technical Services
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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.

  • 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.
  • 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.
  • 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.
  • 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.
  • Proven success leading large-scale cloud migrations or 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 architectures 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).
  • Experience working with large, regulated utilities (familiarity with NERC CIP, PSC, and related compliance requirements).
  • Databricks certification (e.g., Data Engineer Associate/Professional, Machine Learning Associate/Professional).
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