Job Description

Location: Onsite New York City, NY Employment Type: W2 Only Experience Required: Minimum 12+ Years in IT LinkedIn Profile: Mandatory Require Candidates on our W2 only

Job Summary We are seeking an experienced Google Cloud Platform Solution Architect (Data Platform) to lead the design, development, and implementation of large-scale cloud data platforms. The ideal candidate will have deep expertise in Google Cloud Platform , strong architectural experience, and hands-on exposure to modern data engineering, analytics, AI/ML, and regulatory compliance within the utilities domain.

• Lead end-to-end architecture, design, and delivery of scalable Google Cloud Platform-based data platforms.
• Define cloud migration strategies, including re-platforming and re-architecting data workloads.
• Architect, optimize, and implement solutions using Vertex AI, BigQuery, Dataflow, Pub/Sub, and other Google Cloud Platform-native services.
• Build and support batch and streaming data pipelines, data warehouses, and analytics frameworks.
• Integrate AI/ML solutions into data platforms to enhance intelligence and automation.
• Collaborate with cross-functional teams to ensure cloud architecture aligns with business and security requirements.
• Evaluate and compare Azure & Databricks capabilities to guide solution tradeoffs and ensure compatibility with Google Cloud Platform solutions.
• Ensure all solutions adhere to regulatory and security standards, including NERC CIP and other utilities governance frameworks.
• Provide architectural assessments, recommendations, technical leadership, and best practices across cloud data engineering initiatives.

• 12+ years of overall IT experience with extensive cloud architecture exposure.
• Strong hands-on experience with Google Cloud Platform Architecture, Google Cloud Platform migrations, and data platform modernization.
• Proficiency with BigQuery, Dataflow, Pub/Sub, Vertex AI, and cloud-native data analytics services.
• Expertise with data engineering concepts including batch/streaming pipelines, data warehouses, and distributed processing.
• Experience with AI/ML integration within cloud ecosystems.
• Working knowledge of Azure and Databricks, with ability to analyze tradeoffs and design hybrid solutions.
• Familiarity with NERC CIP, security, compliance frameworks, and governance processes for utilities.
• Excellent communication, leadership, and stakeholder management skills.

LinkedIn profile is mandatory for submission.

• Google Cloud Platform Professional Certifications (Cloud Architect, Data Engineer, Machine Learning Engineer).
• Experience in the utilities or energy domain.
• Strong scripting or programming knowledge (Python, SQL).

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