
10,000+ employees
Founded 1915
🏗️ Construction
🏥 Healthcare
📦 Logistics
Construction • Healthcare • Logistics
Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.
🔥 15 hours ago
🐊 Florida – Remote
💵 $117.5k - $234.5k / year
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1915
🏗️ Construction
🏥 Healthcare
📦 Logistics
Construction • Healthcare • Logistics
Carrier is a global leader in building and cold chain solutions, dedicated to innovation in creating healthy, safe, sustainable, and intelligent environments. The company is involved in HVAC and refrigeration systems and focuses on promoting the health and safety of indoor spaces and preserving the global supply of food and medicine through its advanced technologies. Carrier is also committed to addressing climate change and collaborates with partners to drive sustainability and energy efficiency in infrastructure. By exploring smart building solutions and energy resiliency, Carrier is making strides towards a net zero future.
• Lead architecture strategy and technical governance for enterprise cloud modernization initiatives • Define target-state architectures, migration roadmaps, and transition strategies for AWS-to-GCP transformation programs • Establish enterprise cloud architecture standards, design principles, reference architectures, and reusable patterns • Drive technology rationalization, platform modernization, and technical-debt reduction across data and analytics ecosystems • Lead migration of data platforms, data products, analytics workloads, and AI solutions to GCP • Define migration approaches, landing zones, modernization patterns, and workload transition frameworks • Guide engineering teams on migration best practices, risk mitigation, and operational readiness • Ensure migration of applications, data pipelines, warehouses, lakehouse platforms, and AI services while minimizing disruption • Establish migration governance, review processes, and architecture quality gates • Architect scalable and secure GCP data lake, lakehouse, analytics, and AI platforms • Define standards for data integration, batch and streaming pipelines, API enablement, metadata, governance, and data quality • Guide architecture decisions involving BigQuery, Vertex AI, Dataproc, Dataflow, Pub/Sub, and broader GCP services • Support AI, machine learning, generative AI, and advanced analytics initiatives through platform design and governance • Enable reusable AI-ready data products and shared platform capabilities • Lead architecture reviews and design governance processes • Validate solution designs for scalability, security, reliability, availability, performance, and maintainability • Establish cloud security, compliance, privacy, and operational standards with cybersecurity teams • Drive FinOps and cloud cost optimization strategies • Partner with business, product, engineering, cloud platform, security, and operations teams • Advise cloud transformation programs and executive stakeholders • Mentor architects and engineering teams on GCP architecture, cloud-native design, and modernization • Build organizational capability and long-term GCP architecture expertise
• Bachelor’s Degree in engineering or technical discipline • 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or Data Platform Architecture • 5+ years designing and delivering large-scale cloud solutions on GCP, AWS, or Azure • Knowledge of Google Cloud Platform, including BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, and Monitoring • Experience with Lakehouse Architectures, Data Warehousing, Data Integration, Streaming, and Data Governance • Experience with Vertex AI, Machine Learning Platforms, Generative AI, and MLOps • Experience with Kubernetes, Terraform, CI/CD, DevSecOps, and Observability • Knowledge of Enterprise Architecture, Architecture Review Boards, Reference Architectures, and Technology Standards • Demonstrated success governing large-scale data, analytics, and AI platforms • Experience working in global organizations and influencing cross-functional technology teams
• Short-term cash incentives, subject to plan requirements • Medical, Dental, Vision • Wellness incentives • Retirement Benefits • Paid vacation days, up to 15 days • Paid sick days, up to 5 days • Paid personal leave, up to 5 days • Paid holidays, up to 13 days • Birth and adoption leave • Parental leave • Family and medical leave • Bereavement leave • Jury duty leave • Military leave • Purchased vacation • Short-term and long-term disability • Life Insurance and Accidental Death and Dismemberment • Health Savings Account • Health Care Spending Account • Dependent Care Spending Account • Tuition Assistance
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🇺🇸 United States – Remote
💰 Post-IPO Equity on 2015-07
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor