GCP Solution Architect (Data Platform)

Job Title: GCP Solution Architect (Data Platform) Location: Onsite New York City, NY Employment Type: W2 Only Work Authorization: U.S. Citizens / Green Card Holders only Experience Required: Minimum 12+ Years in IT LinkedIn Profile: Mandatory Require Candidates on our W2 only Job Summary We are seeking an experienced GCP 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. Key Responsibilities • Lead end-to-end architecture, design, and delivery of scalable GCP-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 GCP-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 GCP 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. Required Skills & Experience • 12+ years of overall IT experience with extensive cloud architecture exposure. • Strong hands-on experience with GCP Architecture, GCP 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. Preferred Qualifications • GCP Professional Certifications (Cloud Architect, Data Engineer, Machine Learning Engineer). • Experience in the utilities or energy domain. • Strong scripting or programming knowledge (Python, SQL).