
Senior Solution Architect, Data & AI
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Florida.
• Oversee the architectural strategy and technical governance for enterprise cloud modernization projects.
• Develop target-state architectures, migration roadmaps, and transition strategies for AWS-to-GCP transformation initiatives.
• Create enterprise cloud architecture standards, design principles, reference architectures, and reusable frameworks.
• Lead efforts in technology rationalization, platform modernization, and the reduction of technical debt within data and analytics ecosystems.
• Manage the migration of data platforms, data products, analytics workloads, and AI solutions to GCP.
• Formulate migration strategies, landing zones, modernization patterns, and workload transition frameworks.
• Advise engineering teams on migration best practices, risk management, and operational preparedness.
• Ensure the migration of applications, data pipelines, warehouses, lakehouse platforms, and AI services with minimal disruption.
• Establish governance for migration, including review processes and architecture quality standards.
• Design scalable and secure GCP data lakes, lakehouses, analytics, and AI platforms.
• Set standards for data integration, batch and streaming pipelines, API enablement, metadata management, governance, and data quality.
• Guide architectural decisions regarding BigQuery, Vertex AI, Dataproc, Dataflow, Pub/Sub, and other GCP services.
• Support initiatives in AI, machine learning, generative AI, and advanced analytics through platform design and governance.
• Facilitate the creation of reusable AI-ready data products and shared platform capabilities.
• Direct architecture reviews and design governance processes.
• Assess solution designs for scalability, security, reliability, availability, performance, and maintainability.
• Collaborate with cybersecurity teams to establish cloud security, compliance, privacy, and operational standards.
• Promote FinOps and strategies for cloud cost optimization.
• Partner with business, product, engineering, cloud platform, security, and operations teams.
• Provide guidance for cloud transformation initiatives and engage with executive stakeholders.
• Mentor architects and engineering teams on GCP architecture, cloud-native design, and modernization practices.
• Develop organizational capabilities and foster long-term GCP architectural expertise.
• Bachelor’s Degree in engineering or a related technical field.
• Over 10 years of experience in Enterprise Architecture, Solution Architecture, Cloud Architecture, or Data Platform Architecture.
• More than 5 years of experience in designing and implementing large-scale cloud solutions on GCP, AWS, or Azure.
• Proficient knowledge of Google Cloud Platform, including BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, VPC, and Monitoring.
• Familiarity with Lakehouse Architectures, Data Warehousing, Data Integration, Streaming, and Data Governance.
• Experience with Vertex AI, Machine Learning Platforms, Generative AI, and MLOps.
• Proficiency in Kubernetes, Terraform, CI/CD, DevSecOps, and Observability.
• Understanding of Enterprise Architecture, Architecture Review Boards, Reference Architectures, and Technology Standards.
• Proven success in governing large-scale data, analytics, and AI platforms.
• Experience working within global organizations and influencing cross-functional technology teams.
• Short-term cash incentives, subject to plan requirements.
• Medical, Dental, and Vision coverage.
• 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 coverage.
• Life Insurance and Accidental Death and Dismemberment coverage.
• Health Savings Account.
• Health Care Spending Account.
• Dependent Care Spending Account.
• Tuition Assistance.
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