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Lead GCP Data Engineer
Naveera Technology LLCLead GCP Data Engineer at Naveera Technology LLC managing AWS-to-GCP transitions. Involves cloud architecture design and innovative data engineering solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in leading cloud transformation initiatives, particularly in migrating from AWS to GCP, while ensuring the design of scalable and secure cloud architectures. Proficient in modernizing data platforms and analytics ecosystems, with a strong focus on collaboration and stakeholder management.
Highest-signal resume keywords
Google Cloud Platform (GCP)BigQueryTerraformCloud SecurityData Lakehouse
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 Architecture DesignETL Pipeline DevelopmentInfrastructure as Code (IaC)MicroservicesEvent-Driven SolutionsCost OptimizationPerformance TuningTechnical Design DocumentationDisaster Recovery PlanningCloud Governance
Soft Skills
Excellent CommunicationStakeholder ManagementCollaboration
Tools & Technologies
LookerQlik SenseCI/CD PipelinesPub/SubCloud RunAlloyDBDataplexVertex AIIAMVPC
Industry Keywords
Cloud TransformationData SecurityCompliance FrameworksAudit LoggingTechnical Debt Assessment
Tech Stack
Tools & technologiesAWSBigQueryCloudETLGoogle Cloud PlatformMicroservicesTerraform
About the role
Key responsibilities & impact- Lead large-scale AWS-to-GCP cloud transformation initiatives.
- Work on enterprise Data Lakehouse and analytics modernization projects.
- Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker.
- Drive the modernization of data platforms, ETL pipelines, and analytics ecosystems.
- Collaborate with engineering culture to deliver innovative cloud-native data engineering solutions.
Requirements
What you’ll need- 10+ Years of experience
- Strong hands-on experience in Google Cloud Platform (GCP), including BigQuery, AlloyDB, Dataplex, Vertex AI, Pub/Sub, Cloud Run, IAM, VPC, Networking, and Cloud Security.
- Expertise in designing scalable, secure, and high-performance cloud architectures, integration patterns, microservices, and event-driven solutions.
- Experience in solution architecture, technical design documentation, architecture reviews (ARB), technical debt assessment, cost optimization, and performance tuning.
- Hands-on experience with Terraform, CI/CD pipelines, Infrastructure as Code (IaC), deployment automation, disaster recovery, and business continuity planning.
- Strong knowledge of cloud governance, data security, audit logging, exception handling, compliance frameworks, and cloud best practices.
- Proven ability to collaborate with Product Managers, Business Analysts, DevOps teams, Engineering teams, PMO, and business stakeholders to deliver scalable enterprise cloud solutions.
- Excellent communication and stakeholder management skills, with experience presenting architecture options, technical recommendations, cost-benefit analysis, and risk assessments to leadership and technical teams.
Benefits
Comp & perks- Lead large-scale AWS-to-GCP cloud transformation initiatives.
- Work on enterprise Data Lakehouse and analytics modernization projects.
- Opportunity to migrate enterprise BI platforms from Qlik Sense to Looker.
- Flexible remote work environment.
- Exposure to global enterprise customers.
- Collaborative, innovation-driven engineering culture.
- Continuous learning and certification opportunities.