GCP Solutions Architect

Role: Solution Architect, Utilities, Google Cloud Platform - need someone very qualified with Data Platforms Location: Fully onsite at client site in New York City (Tri-State area candidates only) Duration: 6month+ contract with potential to extend and/or convert Mode : Long Term Contract Interview: 3 Rounds, Phone, MS Teams, In-person Citizenship: US Citizen / Green Card Only 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).