Sr. Solution Architect , Data & AI

Overview

Lead enterprise cloud transformation and AWS-to-GCP migration across data platforms, analytics workloads, and AI solutions. Advise stakeholders, govern architecture, and guide engineering teams toward scalable, secure, resilient, and cost-effective platforms.

What you'll do

• Lead architecture strategy and technical governance for cloud modernization initiatives.
• Define target architectures, migration roadmaps, transition strategies, and architecture standards.
• Guide migration of data platforms, pipelines, warehouses, lakehouse platforms, analytics workloads, and AI services to GCP.
• Architect GCP data lake, lakehouse, analytics, and AI platforms.
• Lead architecture reviews covering scalability, security, reliability, performance, and maintainability.
• Advise business and technology leaders and mentor architects and engineering teams.

What you'll need

• Bachelor’s degree in engineering or a technical discipline.
• 10+ years of experience in enterprise, solution, cloud, or data platform architecture.
• Experience designing and delivering large-scale cloud solutions on GCP, AWS, or Azure.
• Knowledge of GCP services including BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, and Monitoring.
• Experience with data warehousing, lakehouse architectures, data integration, streaming, governance, and data quality.
• Experience governing large-scale data, analytics, and AI platforms.

Nice to have

• Master’s degree.
• Experience with Kubernetes, Terraform, CI/CD, DevSecOps, and observability.
• Experience with Generative AI, MLOps, and enterprise architecture governance.
• Experience working in global organizations and influencing cross-functional technology teams.

Details

• Remote role associated with Remote City, Florida, United States.
• Annual salary range: $117,500–$234,500.