Job Specifications
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 Lear