About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier.

The Data & AI Solution Architect

is a senior technology leader responsible for leading the architecture, design, governance, and technical oversight of Carrier's enterprise cloud transformation initiatives, with primary responsibility for the migration of data platforms, analytics workloads, and AI solutions from AWS to Google Cloud Platform (GCP). This role establishes cloud architecture standards, defines target-state roadmaps, creates governance frameworks, and ensures scalable, secure, resilient, and cost-effective solutions across enterprise data, analytics, and AI ecosystems.

The position serves as a trusted advisor to business and technology leadership, guiding engineering teams through cloud modernization efforts, driving adoption of GCP best practices, and enabling long-term platform simplification, operational excellence, and innovation. The architect will collaborate closely with business stakeholders, delivery teams, cloud platform teams, security, and external partners to ensure successful execution of strategic transformation programs.

Key Responsibilities

• Cloud Transformation & Architecture Leadership
  • Lead the 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 pattern
  • Drive technology rationalization, platform modernization, and reduction of technical debt across data and analytics ecosystems
  • Evaluate emerging cloud technologies and provide architecture recommendations aligned with business objectives
• AWS-to-GCP Migration Leadership
  • Lead architecture planning and execution for 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 strategies, and operational readiness
  • Ensure successful migration of applications, data pipelines, warehouses, lakehouse platforms, and AI services while minimizing business disruption
  • Establish migration governance, review processes, and architecture quality gates.
• Data, Analytics & AI Platform Architecture
  • Architect scalable and secure data lake, lakehouse, analytics, and AI platforms on GCP
  • Define enterprise 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 ecosystem services
  • Support AI, Machine Learning, Generative AI, and advanced analytics initiatives through scalable platform design and governance
  • Enable reusable, AI-ready data products and shared platform capabilities across business units
• Architecture Governance & Solution Assurance
  • Lead architecture reviews and design governance processes for cloud and data initiatives
  • Validate solution designs for scalability, security, reliability, availability, performance, and maintainability
  • Establish cloud security, compliance, privacy, and operational standards in partnership with cybersecurity teams
  • Drive FinOps practices and cloud cost optimization strategies.
  • Ensure alignment with enterprise architecture standards and platform engineering best practices
• Stakeholder Engagement & Technical Leadership
  • Partner with business, product, engineering, cloud platform, security, and operations teams to align technology strategy with business goals
  • Act as the primary architecture advisor for cloud transformation programs and executive stakeholders
  • Mentor architects and engineering teams on GCP architecture, cloud-native design, and modernization best practices
  • Build organizational capability and establish long-term GCP architecture expertise across the enterprise

Required Qualifications

• Bachelor’s Degree in engineering or technical discipline
• 10+ years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or Data Platform Architecture

Preferred Qualifications

• Master’s degree
• 5+ years designing and delivering large-scale cloud solutions on GCP, AWS, or Azure
• Knowledge of Google Cloud Platform such as BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, Monitoring
• Experience with Lakehouse Architectures, Data Warehousing, Data Integration, Streaming, Data Governance
• AI & ML: Vertex AI, Machine Learning Platforms, Generative AI, MLOps
• Platform Engineering: Kubernetes, Terraform, CI/CD, DevSecOps, Observability
• Architecture & Governance: Enterprise Architecture, Architecture Review Boards, Reference Architectures, Technology Standards
• Demonstrated success governing large-scale data, analytics, and AI platforms.
• Experience working in global organizations and influencing cross-functional technology teams

Pay Range

The annual salary for this position is between $117,500.00 - $234,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.

Other Compensation

This position is entitled to short-term cash incentives, subject to plan requirements.

Benefits

Employees are eligible for benefits, including:

• Health Care Benefits: Medical, Dental, Vision; Wellness incentives
• Retirement Benefits
• Time off and Leave: 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
• Disability: Short-term and long-term disability
• Life Insurance and Accidental Death and Dismemberment
• Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
• Tuition Assistance

To learn more about our benefits offering, please click here.

Carrier EEO Statement and Accommodations Process

Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline

Applications will be accepted for at least 3 days from Job Posting Date: 23 September 2026

Job Applicant's Privacy Notice

Please click on the link to review the Job Applicant Privacy Notice.

Use of AI

Technology-enabled tools may support parts of the recruitment process, with oversight by people.