GCP Solution Architect

What They Are Looking For:
A highly experienced Google Cloud Platform Solution Architect with deep expertise in cloud architecture, data platforms, and utilities domain compliance. Must have strong leadership skills, ability to guide migrations, and hands-on experience with GCP services and modern data solutions.

Top Skills:

• Google Cloud Platform (GCP) - Architecture, migration strategies, BigQuery, Vertex AI, Dataflow, Pub/Sub
• Cloud Data & Analytics - Batch/streaming pipelines, data warehouses, AI/ML integration
• Azure & Databricks Knowledge - Ability to evaluate tradeoffs and complement GCP solutions
• Regulatory Compliance for Utilities - Familiarity with NERC CIP, security standards, and governance

We are 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 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.

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

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 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
• 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).

Nice to have:

• 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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