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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading cloud architecture strategy and technical governance for enterprise cloud modernization, with a strong focus on GCP solutions, data integration, and AI platforms. Proven ability to mentor teams, establish architecture standards, and drive technology rationalization while ensuring compliance and operational readiness.
Highest-signal resume keywords
GCP ArchitectureCloud ModernizationData GovernanceAI SolutionsEnterprise Architecture
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud ArchitectureData Platform ArchitectureLakehouse ArchitectureData IntegrationStreamingMachine LearningGenerative AIKubernetesTerraformCI/CD
Soft Skills
MentoringCollaborationInfluencing
Tools & Technologies
BigQueryVertex AIDataflowDataprocPub/SubCloud StorageIAMVPCMonitoring
Industry Keywords
Enterprise ArchitectureArchitecture Review BoardsReference ArchitecturesTechnology StandardsFinOps
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudCyber SecurityGoogle Cloud PlatformKubernetesTerraform
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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