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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud infrastructure architecture, particularly on GCP and AWS, with a focus on establishing infrastructure-as-code, CI/CD, and performance patterns for data teams. Proficient in building and operating large-scale data platforms while ensuring security, governance, and observability.
Highest-signal resume keywords
GCP ArchitectureAWS ArchitectureTerraformKubernetesData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Infrastructure-As-CodeCI/CDData Pipeline OrchestrationPerformance MonitoringCost ManagementData ConsolidationStreaming Data ProcessingRelational DatabasesNoSQLDisaster Recovery
Soft Skills
CollaborationConsultingCommunicationProblem-SolvingLeadership
Tools & Technologies
GKEGitOpsService-MeshVPC NetworkingIAM
Certifications & Qualifications
Bachelor's Degree in Computer Science
Industry Keywords
Data EngineeringCloud InfrastructureData PlatformsObservabilityBackup and Restore
Tech Stack
Tools & technologiesAWSCloudGoogle Cloud PlatformKubernetesNoSQLTerraform
About the role
Key responsibilities & impact- Partner with ZoomInfo's data engineering organization as the infrastructure architecture counterpart
- Establish and maintain infrastructure-as-code, CI/CD, monitoring, alerting, performance, and cost patterns for data teams
- Design reference patterns for streaming, messaging, databases, analytics stores, search, orchestration, processing, and open table formats
- Define CI/CD and GitOps patterns for data jobs and pipelines
- Establish performance, cost, observability, backup, restore, and disaster recovery patterns, including RTO/RPO targets
- Run proofs of concept for emerging data technologies and vendor offerings
- Define secure connectivity patterns between managed data services and ZoomInfo's GCP environment
- Support data consolidation, governance, classification, residency, and access-policy efforts
- Build reference implementations, write ADRs, and partner with owning teams on rollout
- Participate in weekly architecture reviews, expand standards and ADR libraries, and provide infrastructure consulting
- Host design reviews and workshops and enable data teams through complex infrastructure decisions
Requirements
What you’ll need- Production experience architecting on GCP and/or AWS beyond data services
- Experience with compute and Kubernetes, including GKE or equivalent, as the runtime for data workloads
- Experience with VPC networking and private connectivity to managed services
- Experience with IAM and workload identity
- Strong Terraform and GitOps skills, including designing and reviewing modules
- Ability to review service-mesh or network designs in architecture review
- Hands-on experience building and operating infrastructure under data platforms at multi-terabyte to petabyte scale
- Deep production experience in at least two data domains: streaming and stream processing; relational operational databases; NoSQL; columnar analytics and lakehouse; search; pipeline orchestration and processing
- Fluency across the remaining data domains sufficient to evaluate, review, and learn them quickly
- Experience diagnosing and fixing expensive or slow data workloads
- Ability to dive into code, prove out patterns, and test behavior under load
- Experience running rigorous technology evaluations used by engineering leaders and procurement
- Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
- 10–15+ years of cloud infrastructure, platform, or data infrastructure engineering experience
- Several years establishing patterns and standards that multiple teams depend on
Benefits
Comp & perks- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
- Additional compensation such as Bonus, Commission, Equity and other benefits may also apply